AI ethics on Thursday, 16 July 2026

A teenage student subjected to a four-year "catfishing" nightmare after her identity was stolen by another teenage girl in her town has won a £10,000 High Court damages payout. Starting when she was only 16, Sasha Davies was targeted by "c ... (https://incidentdatabase.ai/cite/1592#7520)

A statement in open court was read out today before Mr Justice Fordham in Davies v Weston, following the acceptance of a settlement offer which consisted of the making of the statement in open court on behalf of both parties, the payment of ... (https://incidentdatabase.ai/cite/1592#7521)

Bronx, NY-- Montefiore is planning to lay off real nurses and replace them with artificial intelligence (AI)-powered software. These are nurses who use their decades of bedside experience and clinical judgement to review insurance denials a ... (https://incidentdatabase.ai/cite/1593#7523)

The New York State Nurses Association (NYSNA) alleged Wednesday, July 1, that Montefiore Health System, a private hospital system operating in The Bronx and Westchester Counties, is planning to lay off real nurses and replace them with arti ... (https://incidentdatabase.ai/cite/1593#7524)

The Cats have asked Facebook to take action against pages that are repeatedly posting false and malicious AI-generated content about the club and its players. The club has warned fans to stick to official news sources for updates, as it be ... (https://incidentdatabase.ai/cite/1594#7525)

Case is one of first brought by an AI company against a user ⁠for allegedly using a tool to generate child abuse material Elon Musk’s artificial-intelligence startup xAI has sued a South Carolina man arrested ⁠earlier this year on charges of sexually exploiting minors, alleging he misused the company’s AI system Grok to ⁠create child sexual abuse ⁠material. xAI ​alleged in the lawsuit, filed in federal court in Texas on Tuesday, that Terry Harwood violated the company’s ⁠terms of service. The ca

The decision by European Union regulators is a response to fears that Google will use its vast Android user base to gain an edge in A.I.

Ofcom concerned TikTok’s age verification is ineffective, leaving some exposed to posts on suicide, self-harm and pornography TikTok is under formal investigation over concerns it has failed to protect children from harmful content, the UK’s online regulator, Ofcom, has announced. The social media platform’s approach to checking the ages of users has sparked “particular concerns” at the watchdog, almost a year after measures to protect children from the worst of online content came into effect u

With India lagging in the technology, officials are embracing giant data centers. But critics say the megaprojects will use up energy and water, without providing long-term jobs.

She has studied adolescent mental health for 25 years and fears the debate obscures some of the biggest issues facing teenagers – from the impact of Covid to the health of their adult caregivers The quickest way to make being online safer for children and teens would be to kick all adult men off the internet, the Canadian psychologist Candice Odgers believes. Men are the biggest perpetrators of sextortion and most likely to spread misinformation, she says. Odgers is not recommending this as a po

Uncrewed systems are the future for armed forces and the Netherlands is leading the way ‘to keep people out of danger zones’ On each side of the target ship, a black vessel keeps a watchful distance. Defender 1 and Defender 2 are the eyes and ears of the navy – but they have nobody onboard, and their paths are controlled by a computer system. This is the future of the Royal Netherlands Navy, according to Capt Sjoerd Feenstra, head of the expertise centre for unmanned systems. He is leading a fiv

When the PM talks about new laws applying to the ‘next generation of large-scale datacentres’ what does he mean? Albanese’s AI blueprint sparks calls for datacentre moratorium until new regulations in place Expectations were high as the prime minister took the stage at the University of Sydney on Wednesday to outline a pivot in his government’s approach to artificial intelligence . The vibes of the speech seem to have lived up to the hype but it fell short on policy detail. Before the address th

Google says these changes could endanger user privacy and security.

Elon Musk's xAI files first lawsuit against Grok user accused of making child sex images.

Hyundai aims to deploy 25,000 Atlas robots starting with US factories in 2028.

Could we be thinking the wrong way about surging energy demand from data centres in Australia?

The company endorsed landmark AI transparency laws in California and New York last year, but its head of US state and local policy says they may already be outdated.

New York Governor Kathy Hochul might have just signed a moratorium on new AI data centers in the state, but she's not against using the technology herself. During an interview with Bloomberg's Odd Lots podcast, Hochul said that her team is using "AI to analyze every single rule, regulation, [and] policy" to check for outdated […]

There are many words that I would never, ever use to describe a drone. Stealthy. Subtle. Whatever the opposite of obnoxious is. Much of this is because of the giant angry bee sound that drones tend to make, but it’s also the way that they look in flight: With uncannily linear movements and an even less canny ability to hover perfectly still, they tend to draw the eye as affronts to nature. In a paper presented this week at RSS 2026 in Sydney, roboticists from Northwestern University, Evanston, I

Companies coming to market are raising money at fastest pace this century.

The center has the right expertise, but lacks money, authority and influence

History suggests copyright adapts to technology. AI may be no exception.

Courts have long let utilities seize private property to build transmission lines. Does that hold if the power flows to a single data center?

In the eastern Indian Ocean, south of Java in the vast sea stretching toward Australia, a fishing vessel slightly alters its course while operating near the boundary of its authorized fishing ground. Nothing appears unusual on deck. Nets remain in the water. Engines maintain a steady speed. To the crew, it is an ordinary day at sea. Yet hundreds of kilometers above, satellites continuously record the vessel’s position. At Indonesia’s Marine and Fisheries Resources Surveillance Station in Cilacap

Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a confirmed agent security incident or a near-miss; only about a third give every agent its own scoped identity, and most agents still share credentials; and only three in ten isolate their highest-risk agents. The security stack is overwhelmingly borrowed from the model providers and hyperscalers rather than purpose-built for agen

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context source, and provider-native retrieval has quietly overtaken the dedicated vector databases that define the category — yet a majority of enterprises have already watched their agents produce confident, wrong answers traced to missing or inconsistent context. A governed semantic layer is emerging as the fi

The Chocolate Factory is not amused

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully trusts automated evaluation today; and the most-cited weakness is that evaluations do not align with real-world outcomes. Yet two-thirds already allow, or are actively engineering toward, deploying agent changes to prod

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

This latest investment seems to bring TSMC’s total pledges for U.S. chipmaking to $265 billion.

DoorDash is opening a limited beta of dd-cli, a command-line tool that lets developers and AI agents search stores, build carts, and place orders from the terminal, marking another step toward software designed for AI agents instead of just humans.

Drawing on more than a decade spent helping build some of the world's most influential AI systems, including research that later informed the development of ChatGPT, Andrew Dai explains why he believes visual AI is one of the next major frontiers in artificial intelligence.

Harvey has announced its acquisition of New York-based Benchmark, a decision infrastructure platform for asset management. Benchmark helps investors make better decisions by capturing their ...

Users are still getting used to the token.

Users are still getting used to the token.

Users are still getting used to the token.

Users are still getting used to the token.

Users are still getting used to the token.

CrowdStrike president Mike Sentonas warns that frontier models may sharply reduce the time between a software flaw’s discovery and its exploitation, forcing companies to rethink how they manage cyber risk.

CrowdStrike president Mike Sentonas warns that frontier models may sharply reduce the time between a software flaw’s discovery and its exploitation, forcing companies to rethink how they manage cyber risk.

CrowdStrike president Mike Sentonas warns that frontier models may sharply reduce the time between a software flaw’s discovery and its exploitation, forcing companies to rethink how they manage cyber risk.

CrowdStrike president Mike Sentonas warns that frontier models may sharply reduce the time between a software flaw’s discovery and its exploitation, forcing companies to rethink how they manage cyber risk.

CrowdStrike president Mike Sentonas warns that frontier models may sharply reduce the time between a software flaw’s discovery and its exploitation, forcing companies to rethink how they manage cyber risk.

There is a real risk of cultural bias if AI assumes the whole world ought to pursue the same values as the West.

There is a real risk of cultural bias if AI assumes the whole world ought to pursue the same values as the West.

There is a real risk of cultural bias if AI assumes the whole world ought to pursue the same values as the West.

There is a real risk of cultural bias if AI assumes the whole world ought to pursue the same values as the West.

There is a real risk of cultural bias if AI assumes the whole world ought to pursue the same values as the West.

Under a newly finalized rule, student visas will be capped at four years and those for members of the media at 240 days.

The president urged New York to reverse its ban, calling data centers ‘liquid gold’ in a July 15 Truth Social post.

Will anyone do anything about it? Unlikely! The post Biglaw Summer Associate Recruiting Has Officially Become Ridiculous appeared first on Above the Law .

A Pentagon official told Nextgov/FCW that the agency is “rolling out additional apprenticeship positions over the next few weeks.”

Chinese President Xi Jinping has called for more global cooperation in the development and governance of artificial intelligence, while promising support for other countries.

President Trump’s social media platform announced plans Thursday to sell Wall Street firms early access to its “most market-moving” posts. Trump Media & Technology Group (TMTG), the parent company of Truth Social, said it would launch "Truth API" — a direct data feed that would give investment firms “real-time access to posts from the highest-ranking...

The lawyers who build real books of business are not the ones who dart, hesitate, and hope. They are the ones who pick a direction, commit to a plan, and cross the road with purpose. The post Stop Acting Like A Squirrel With Your Legal Business Development appeared first on Above the Law .

Six bills before the panel would create new responsibilities for NTIA and the FCC.

Corporations walked away from Russia in historic numbers. Governments loosened sanctions just as the pressure was working.

The leaders promised a broad push on defense, industry and technology as the 2027 French presidential election raises questions about whether their agreements will endure.

Kevin Warsh defended charges of a “creditability deficit” and lack of worker representation in an AI task force made up of a VC billionaire, a Microsoft exec and a professor/Anthropic researcher. The post Fed won’t outsource AI decisions to task force helmed by tech titans, chair says appeared first on FedScoop .

The bill would cut compliance costs for small broadband providers.

Regulators aren’t providing guidance quickly enough, and while large firms have access to in-house ethics advisors, solos and smalls don’t. The post The One About Passing AI Costs Through To Clients appeared first on Above the Law .

Roblox announced Build on Wednesday, a new creation tab inside the Roblox mobile app that lets anyone turn a text prompt into a basic playable game without touching Roblox Studio or writing a line of code. A creator can describe something like a cozy forest adventure game with environmental obstacles, and Build will generate a […] This story continues at The Next Web

The agency is expanding an enterprise data platform to all department elements and increasingly using artificial intelligence in daily operations.

Both companies claim that their proposals did satisfy Navy requirements for the new MUSV marketplace.

Any new rule issued under current FCC Chairman Brendan Car would likely be more limited in scope, panelists said

A bill to provide $10,000 bonuses to New York City’s full-time paraprofessionals is headed to Mayor Zohran Mamdani’s desk after it was approved by City Council members Thursday. Similar legislation introduced last year was backed by the United Federation of Teachers in an effort to address the city’s paraprofessional shortage. After the bill failed to […]

The Trump administration's USAO shell game continues. It's going to lose again. The post Trump Fires U.S. Attorney After 54 Minutes, Replaces Him With Fake Prosecutor appeared first on Above the Law .

The post Texas Democrats Ask for Investigation Into Ken Paxton After Our Reporting Found He May Have Violated Election Law appeared first on ProPublica .

The broadcasters will stream the address and break in if needed, with other networks still scrambling to determine their plans for the speech. CBS, however, will air a special report at 9 p.m.

Democratic Sen. Ron Wyden says the Trump administration should pressure Canada not to enact a proposal that would "weaponize American technology infrastructure" for surveillance purposes.

Forget about attackers. Agentic artificial intelligence is creating enough risks for organizations and demands a security reframe.

Anthropic CEO Dario Amodei gave $1 million to Public First, a super PAC backing candidates who support stronger guardrails on AI, according to a campaign finance filing Wednesday. He was joined by several other Anthropic employees, who gave a combined $2.15 million over the last quarter, the filing showed. A Google DeepMind engineer and an...

Turns out the profession's technophobia gets left at the in-house door. The post In-House Lawyers Are The Biggest AI Users appeared first on Above the Law .

Volkswagen’s autonomous mobility subsidiary Moia has begun offering rides in self-driving ID Buzz vans to preregistered residents in Hamburg, marking the first time a major European automaker has launched an autonomous passenger service on its home continent. Up to five vehicles are operating at initial launch, with the fleet expected to expand to 10, and […] This story continues at The Next Web

From his years in the energy sector to his close working relationship with Ukrainian President Volodymyr Zelensky, here's what to know about the new Prime Minister.

The sea service released its new "Strategy to Weaponize Data and Artificial Intelligence" this week. The post SECNAV Hung Cao unveils plan for Navy to ‘out-learn and out-fight any adversary’ with AI appeared first on DefenseScoop .

The company reports second quarter results July 24

The firms that thought they had escaped Trump's wrath are once again dealing with the fallout. The post Biglaw Learns The Hard Way That Those Trump Deals Weren’t Exactly A Get-Out-Of-Jail-Free Card appeared first on Above the Law .

Il utilisait la plateforme de prédiction Kalshi, qui permet notamment aux internautes de parier sur la possibilité qu’une phrase ou un mot soient prononcés, et avait ainsi encaissé plus de 100 000 dollars.

The number of people who got approval to be in the Federal Rotational Cyber Workforce program was in the single digits, GAO found. The post Program to rotate cyber personnel through federal agencies saw little use appeared first on CyberScoop .

Charges filed with the NLRB accuse Xbox of bad faith bargaining.

The most successful lawyers understand that marketing is not something separate from practicing their profession. The post Developing Your Own Personal Marketing Plan And Then Actually Implementing It appeared first on Above the Law .

Sen. Thom Tillis, R-N.C., put OMB Director Russell Vought on the spot during a Senate Banking Committee hearing over minimal documentation around DOGE savings claims. The post GOP senator blasts ‘amateurish’ DOGE work, lack of detail on savings appeared first on FedScoop .

President Donald Trump has demanded for months without success that Congress pass the Save America Act, a voting bill that he has claimed would “guarantee the midterms” for Republicans. He repeated ...

It’s complicated—and it might not matter that much.

The National Highway Traffic Safety Administration is also investigating the crash

Scale AI is the latest technology provider to join the DOE’s Genesis Mission Consortium as the agency continues building up its roster of private-sector partners. The post Energy adds more AI startups to Genesis Mission Consortium appeared first on FedScoop .

The Trump administration is testing the use of AI in Medicare to approve some medical services.

Labor and public interest groups concerned over LEO providers' ability to carry out their commitments.

Accountability? LOL, not quite. The post Kathryn Ruemmler’s Epstein Testimony Is ‘Classic Gaslighting’ According To Legal Scholars appeared first on Above the Law .

SpaceX deorbiting satellites isn't a cause for worry, but scientists are still looking into the environmental impacts of frequent satellite deorbits.

Preschoolers with disabilities in New York City will gain access to an unprecedented set of programs and services thanks to a major expansion in special education announced Tuesday by Mayor Zohran Mamdani and New York City Public Schools Chancellor Kamar Samuels. The nation’s largest school system is investing $67.5 million in special education as families […]

Google will have to let rival AI assistants run on Android the way its own Gemini does. It must also hand some of its search data to competitors. The European Commission set out both requirements on Thursday. The two decisions fall under the EU’s Digital Markets Act (DMA), the Commission said. The law forces “gatekeeper” […] This story continues at The Next Web

Potential purchase of ArisGlobal from Swedish buyout group would boost French conglomerate’s push into life sciences

More than 300 million people around the world are currently estimated to live in places with legal access to assisted dying.

Researchers have restored hand movement and the sense of touch to a man paralysed from the chest down. The results, published in Nature Medicine, suggest the technology partly rewired his nervous system. The system, called a “double neural bypass,” comes from the Feinstein Institutes for Medical Research, the research arm of Northwell Health, the team […] This story continues at The Next Web

Heavy staff cuts at the firm this week. The post Layoff Alert: K&L Gates Announces Significant Cuts appeared first on Above the Law .

On Wednesday, GoDaddy launched its new developer platform, giving developers a way to manage domains without leaving their development environment. The post GoDaddy opened its registrar to AI agents. Then it had to build guardrails. appeared first on The New Stack .

“There’s a wide array of things that we have stopped spending money on so that we could pay for the bills that are associated with Epic Fury,” Gen. Kenneth Wilsbach told Breaking Defense. “That’s why you need a supplemental for this year.”

Platforms report what they can see. Teams optimize within the environments they control. Dashboards reflect the signals being fed into them. The problem is that the underlying architecture was never designed to produce a coherent version of truth across every platform, device and touchpoint. Partner insights from AppsFlyer.

The prediction market platform Kalshi said Thursday that it flagged suspicious trades on President Trump's speeches to federal regulators that are reportedly connected to the president's longtime teleprompter operator. ABC News reported that Gabriel Perez, who was first hired by Trump in 2016, is in settlement talks with the Commodity Futures Trading Commission (CFTC) over...

Although earnings are a convenient metric to assess initial program outcomes, this new one-dimensional standard fails to measure what truly matters over the long term. We have known for years that ...

A group of current and former OpenAI employees poured more than $245,000 into a super PAC focused on countering Leading the Future (LTF), a committee funded in part by the AI firm's co-founder and President Greg Brockman. The AI safety super PAC, Guardrails Alliance, announced Wednesday it received eight contributions totaling $248,000. Three of the...

The NY-17 Democratic nominee questioned the administration’s planning for Iran and said she would seek a seat on the House Energy and Commerce Committee, if elected.

The CMMC Phase II pause “shouldn’t be a shocker to anybody,” according to Katie Arrington, thought of as the creator of CMMC. But, she said, at the end of the day the Pentagon is likely to come back around to where it is now, realizing “that there really is no other way to get compliance.”

A law set to pass Friday by Japan’s parliament could doom its 1,500-year-old hereditary institution by insisting that only men can be emperor, sparking worry about the shrinking, fast-aging imperial f ...

Forty-four days after Milbank's salary announcement, much of Biglaw remains on the sidelines. The post Waiting On Cravath: Biglaw’s Salary Silence Is Getting Ridiculous appeared first on Above the Law .

An incoming citizenship-by-investment scheme could turn Argentina into the next backup plan for the ultra-wealthy hedging against risks at home

Here are five key things investors need to know to start the trading day.

A federal judge struck down one part of the law standing up the program, which a government lawyer has said would allow the program to move forward

Federal teams charged with making sure states are doing right by students with disabilities appear to have visited fewer than half of the states originally scheduled for review in 2025 and 2026. That information comes from U.S. Department of Education documents compiled and analyzed by the Council of Parent Attorneys and Advocates, a group that […]

[Sponsored] AI keeps failing the law department. Here’s why. The post What Does Your Legal Team Actually Need From AI? appeared first on Above the Law .

“Age checks are a cornerstone of the UK’s online safety laws,” said Ofcom’s Chief Executive, Melanie Dawes. “Too many services have no or inadequate age checks in place, which is not good enough.”

Wealth and asset management startup Neo Group has raised about ₹350 Cr ($36.3 Mn) in a funding round led by…

German media regulators say Google's AI Overviews are Google's own content, not neutral search results, and that they crowd out regular links. The regulators have issued their first rulings against Google and Perplexity under the country's State Media Treaty. Both companies have one month to appeal. The article Germany puts Google's AI Overviews and Perplexity under media law in first-of-its-kind ruling appeared first on The Decoder .

Major Taiwan computer chipmaker TSMC said Thursday it plans to spend another $100 billion on expanding its manufacturing capacity in the United States . The latest commitment appears to bring the company’s total pledges for investment in U.S. chipmaking to $265 billion. It also raised its annual revenue forecast after booking record high profits thanks to runaway demand from the boom in artificial intelligence . The world’s largest contract chip manufacturing and one of the world’s most valuable

The Royal Air Force plans to develop a new electronic warfare drone dubbed Storm Chrome, along with a long-range, one-way attack drone called Storm Fire, according to Air Chief Marshal Harv Smyth.

This investigation is a collaboration between Bellingcat and New Zealand news site The Press. You can read The Press’ piece here. Content warning: This article discusses non-consensual sexually explicit content and child sexual abuse material. In 2024, a former track and field coach in Boston, Massachusetts, was sentenced to five years in jail for attempting […] The post Identifying the Crypto Entrepreneur Linked to Popular Forum Trading in ‘Leaked’ Nudes of Women appeared first on bellingcat .

Welcome to AI Decoded , Fast Company ’s weekly newsletter breaking down the most important news in the world of AI. I’m Mark Sullivan, a senior writer at Fast Company covering emerging technology, AI, and tech policy. This week, I examine Satya Nadella’s argument that enterprises need a more balanced and less dependent relationship with frontier-model providers. I also look at a new warning from economists and technology experts about AI-driven job losses, as well as the ways states are beginnin

Jürgen Schmidt, Leiter von heise security, erklärt, warum Responsible und Coordinated Disclosure keine Zukunft mehr haben.

Ukraine President Volodymyr Zelensky dismissed Defense Minister Mykhailo Fedorov, who championed the push to integrate drone technology and digital innovation into the military.

Nachdem am Wochenende entdeckt wurde, dass Grok Build ganze Git-Repositories der User in einen Cloud-Speicher geschickt hat, verspricht SpaceXAI Transparenz.

A group of researchers at Brigham and Women’s Hospital and Harvard Medical School in Boston have lost a paper for image duplication following an investigation by the two institutions. The paper, published in September 2019 in the Journal of Experimental Medicine, described a treatment for tumors caused by a disorder called tuberous sclerosis complex. Several … Continue reading Harvard cancer researchers earn retraction for image duplication

Éclaboussé par un nouveau scandale lié à son assistant dédié au code, Grok Build, Elon Musk a promis mercredi 15 juillet qu’il publierait l’intégralité du code source de son réseau social X au terme d’un audit de sécurité. L’annonce intervient dans un contexte particulier en France, entre soutien indirect affiché par Musk à la candidature […]

The relaunch includes a new brand identity, the tagline ‘Raise The Bar,’ an advertising campaign, and a redesigned website. The post Litera Relaunches Its Brand Around A Unified Vision: One AI Agent Spanning The Practice and Business Of Law appeared first on Above the Law .

CNBC’s Jim Cramer said investors should take profits after parabolic rallies rather than risk a painful unwind.

Amazon's entry suggests global technology companies do not always need regulators to change policy before expanding into African markets.

Relocation of Education Department to Facilitate Redevelopment Katherine Knott Thu, 07/16/2026 - 11:30 AM ED will be leaving its headquarters regardless of where Energy is housed. We supported this resolution to pave the way for Washington to convert unused federal real estate into housing and greater tax revenue. Byline(s) Letters to the Editor

Musikwissenschaftler Matthias Röder stellte einst eine Beethoven-Sinfonie mittels KI fertig. Im Interview spricht er darüber, was er für die Zukunft erwartet.

Two men each sentenced to five years and six months in prison for 2024 incident that led to months of disruption

President Donald Trump’s social network Truth Social announced on Thursday that it will start selling investors quicker access to posts from prominent accounts, opening an unprecedented new way the ...

Patient went from not being able to lift his hands to his face to independently wiping his mouth

Homeland Security Limits How Long International Students Can Stay in U.S. Katherine Knott Thu, 07/16/2026 - 11:00 AM International students previously could stay as long as their program lasted. The Trump administration is ending that 1978 policy. Byline(s) Johanna Alonso

Now that AI agents are performing real tasks rather than just generating text, the old methods of manual security testing The post OpenAI’s GPT-Red automates prompt injection testing to harden AI agents appeared first on The New Stack .

The double threat of air pollution and extreme heat is only going to get worse with climate change.

This State of the Industry report, sponsored by Swap, explores how brands, retailers and agencies are adopting agentic commerce, including agentic storefronts, to enhance shopping experiences. Artificial intelligence is the new entry point in e-commerce, as more shoppers rely on AI-powered summaries and assistants to discover products. Beyond discovery and product recommendations, AI agents are […]

Elon Musk's artificial intelligence firm xAI is suing a South Carolina man, accusing him of using its generative chatbot Grok to create child sexual abuse material. The suit, filed in a federal court Tuesday in Texas, alleges Terry Wayne Harwood had at least two Grok accounts using false identities to create and distribute explicit material....

Smart firms will read the Deloitte report and the tea leaves and prepare for change. But large law firms may not make the change until it’s too late. The post The Deloitte Legal Report: Trouble For Ostriches appeared first on Above the Law .

Ahead of the CNBC Investing Club's July Monthly Meeting, here's a look at what moved our three top and bottom performers since our last meeting.

The shipyard will focus on both defense and commercial vessels, the company announced today.

The regulator is assessing whether the platform is doing enough to protect children from harmful content.

Bad Bunny and his label, Rimas Entertainment, have asked a US federal judge to reconsider a ruling that is keeping them in a copyright lawsuit over reggaeton’s “dembow” rhythm. In a motion filed on Wednesday (July 15), which you can read in full here, the two defendants asked the US District Court for the Central … Continued Source

Der Codex Micro soll das Steuern von KI-Agenten mittels Tasten erleichtern. Daf�r arbeitet OpenAI mit einem Tastaturhersteller zusammen. ( Peripherieger�te , Eingabeger�t )

OpenAI and keyboard manufacturer Work Louder have unveiled the Codex Micro, a compact hardware controller designed for working with AI agents. The article OpenAI wants developers to stop typing commands and start using a joystick to control their AI agents appeared first on The Decoder .

America’s collapse in confidence in higher education — with support for colleges falling four times as much as for other government and civic institutions — doesn’t appear to be getting better anytime soon. Gallup polls over the last decade have shown a decline in support of colleges and universities from a high of 57% of respondents having […]

[Sponsored] As operating environments grow more complex, Link 16 provides instantaneous, mission-wide connectivity to ensure no aircraft flies alone.

More than two-thirds of middle managers are optimistic about AI's role in the future of work, and they feel personally accountable for their team's adoption of AI tools.

Taiwan Semiconductor Manufacturing Company (TSMC) plans to spend another $100 billion in the U.S. to build more chip facilities, the company announced Thursday. The chipmaker's investment will be directed toward constructing several more semiconductor and advanced packaging fabrication plants in Arizona "to support the strong multiyear demand from our leading U.S. customers," TSMC CEO C.C....

Thredd, the AI-first issuer processing platform, today announced it has joined the Visa Agentic Ready programme, enabling issuers across Europe to participate in agent-initiated payments without rebuilding their payments infrastructure.

As part of its commitment to advancing Nigeria’s digital financial...

The Coalition Against Surprise Medical Billing launched a campaign opposing the No Surprises Act Enforcement Act, arguing it would worsen IDR process abuse. The post Coalition Urges Policymakers To Reject No Surprises Act Enforcement Bill appeared first on Above the Law .

Commenters discuss the environmental impact of AI data centres and the need for greater transparency — join the debate

Businessman Kevin O'Leary and Fox News are being sued by a group opposed to data center construction in Utah, alleging it aired false statements about their funding. The suit, brought against the network and television pundit by Alliance for a Better Utah, Elevate Strategies, Gabrielle Finlayson, Taylor Knuth and Josh Kanter, alleges that O'Leary used the...

Domestic institutional investors increased their exposure to Meesho in the first quarter of FY27, offsetting stake sales by several early…

As the global artificial intelligence race pushes the limits of scale with massive, trillion-parameter models, a parallel contest is heating up over smaller systems. Instead of relying on sprawling, power-hungry cloud data centres, a growing number of tech companies in China and elsewhere are turning to lightweight models designed to run entirely on smartphones or laptops. Proponents said this localised approach would be a game-changer, promising faster processing, enhanced data privacy and...

Enterprise AI startup logcat.ai has raised $2.5 Mn (about ₹24 Cr) in a pre-seed funding round led by US-based seed…

The U.S. previously tried to incorporate permanent daylight saving time for a trial period from between 1974 and 1975. The experiment occurred under former President Nixon, who signed the Emergency Daylight Saving Time Energy Conservation Act into law in an effort to conserve fuel following the Arab oil embargo in 1973. However, the measure was...

Every new technology promises to save people time. Artificial intelligence is beginning to promise something more ambitious: memory.

But while that earlier policy reopened official FX access, the latest framework is a digital infrastructure for monitoring the movement of retail dollars.

Amazon's satellite business Leo will launch in 2027 by playing by South Africa's Black-ownership rules — the same law Musk refused to follow.

Fintech company Jio Financial Services’ (JFS) net profit zoomed 2.6X to ₹830.3 Cr in the first quarter (Q1) of FY27…

1Password wants to solve one of AI's biggest practical problems: secure logins. Its Claude integration can enter passwords and MFA codes without exposing credentials to Anthropic or the model.

Fireworks once relied heavily on revenue from coding startup Cursor, but has diversified in the past year as more companies reach for lower-cost AI models.

1Password lets you use Claude agents for personal chores without exposing your credentials.

Nine days into a twelve-day experiment with an AI coding agent, SaaStr founder Jason Lemkin had one instruction on file: The post “There are no laws, only suggestions”: What AI agents do with your instructions appeared first on The New Stack .

Wonder, which owns Grubhub and Blue Apron, is betting robotics, AI, and a nationwide expansion can reshape restaurant delivery before going public.

* DOJ and SEC agree to freeze discovery in SEC's civil case over the Biglaw insider trading scheme, clarifying that the criminal case will be the main event. [ Court Listener ] * WilmerHale faces class action over data breach. [ Law360 ] * R. Kelly believes he can fly straight out of prison, asking Donald Trump for clemency by citing DOJ weaponization against him. [ TMZ ] * Subpoenas for Biglaw capitulators "reopen wounds." Self-inflicted wounds, but wounds nonetheless. [ Bloomberg Law News ] *

Slapping travel bans on EU social media regulators in itself is a violation of free speech rights, U.S. judge tells Trump administration.

Schneider Electric, an energy management and industrial automation company, believes Africa is preparing for it with the wrong question.

The petition filed by content creator Nitin Joshi alleges that false copyright strikes are triggering Meta's automated reviewing systems, suspending creators accounts which is followed by ransom demands. The post Fake copyright strikes used to extort from Instagram creators, alleges petition before Delhi HC appeared first on MEDIANAMA .

Every few years, a new technology enters schools. Television beamed lessons from the best teachers into classrooms. Computers and the internet gave students access to a wealth of information, right at their fingertips. Interactive whiteboards, tablets and Chromebooks were sold as the future of education. Now, it is artificial intelligence. And educators must ask: What […]

The potential deal comes few days after Saudi Arabia and Iran-backed Yemeni Houthi traded fire, ending a four-year truce.

AI hardware interface startup Aina has emerged from stealth with a $5.5 Mn (about ₹53 Cr) seed funding round co-led…

As soon as ChangXin Memory Technologies opened its blockbuster initial public offering to public subscription on Thursday morning, Luo Yi applied for 86,000 shares – despite acknowledging that she knew little about the semiconductor industry. The 60-year-old stock investor from southwestern Sichuan province was encouraged by her securities account manager, who told her that CXMT’s unusually large share sale could produce a higher allotment rate than most Chinese mainland IPOs. Luo’s application.

CRA, NIS-2 und AI Act: Wie Unternehmen ihre IT rechtssicher betreiben können – praxisorientierte Einblicke aus dem Alltag von Systemadministratoren.

Aktuell stellen viele Unternehmen kaum noch Berufseinsteiger ein. Wie man sich in Zeiten von Einstellungsstopps selbst zum Senior macht. Ein Ratgebertext von Franziska Hauck ( Arbeit , Wirtschaft )

Shares hit 13-year low after UK grocery delivery group reports lower profits and says new installations will be delayed

RBI has proposed a comprehensive data governance framework that requires banks, NBFCs and other regulated entities to manage data across its entire lifecycle. The post Lowdown: RBI releases draft guidance on regulatory expectations for data governance appeared first on MEDIANAMA .

It follows a review by the regulator in May that criticised the platform for not being "safe enough" for children.

Neben mehr Einsatzgebieten für Discriminated Unions bietet die Preview weitere Möglichkeiten zur asynchronen Validierung und Neues für die Prozessverwaltung.

Owen Flowers and Thalha Jubair were convicted for their roles in the attack, which led to large costs for Transport for London.

In a special video program, Breaking Defense walks you through the past, present and future of Germany’s burgeoning defense market.

SA’s business services sector created 26 346 new jobs servicing international markets in 2025, the highest annual total since 2018.

IBM Bob 2.0 soll auch Jahrzehnte alten Code verstehen und modernisieren können – mit KI-Agenten und Premium-Paketen für Z, i und Java.

International students and exchange visitors may struggle to finish their degrees without visa extensions under a new DHS rule.

Taiwan Semiconductor Manufacturing Co (TSMC) has pledged an additional US$100 billion to expand its manufacturing facilities in Arizona, boosting the company’s US investment to US$265 billion, as the chip foundry rushes to meet booming demand driven by artificial intelligence. TSMC chairman CC Wei said the firm planned to proceed “as fast as possible” with the new Arizona investment but declined to provide a timeline, noting that progress would “depend on the market situation and our customers’.

Charter schools in Massachusetts have significantly accelerated student learning over the last quarter century, a newly released study shows. Compared with their counterparts in the state’s traditional public schools, charter students earned higher marks on state exams and the SAT, with particularly large gains in cities like Boston. Notably, however, these effects fluctuated over time. […]

The judgment also awarded Merlin $667,636.36 in pre-judgment interest and $717.05 in costs, plus post-judgment interest. Source

Local banks are under tighter regulatory scrutiny as the Prudential Authority ramps up oversight of AI, cloud computing, cyber security and other emerging tech-related risks.

A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend. By Steef-Jan Wiggers

Three-plus years into the AI boom, we’re all still figuring out what an AI token is actually worth. Welcome to the era of stochastic shopping. Tokens, at their core, are the tiny units of language that artificial intelligence systems ingest and process in order to reason, or at least mimic reasoning, and communicate with us. A token might be a punctuation mark, a word, or even part of a word. OpenAI suggests that, in English, one token is roughly equivalent to four characters, or about three-qua

They are asking that the EU's Digital Omnibus "drop any mandatory install-time or session start 'set your preference' prompt" and allow by default tracking refusal by privacy browsers. The post Mozilla, DuckDuckGo, Vivaldi ask EU to let browsers enable default tracking refusal appeared first on MEDIANAMA .

Following the excitement generated by its "Be Seen. Be Hot."...

LSEG today announced that it is making its trusted, licensed data and analytics available in Model ML through its Model Context Protocol (MCP) connector, enabling secure access to AI-ready financial content within financial services workflows.

Circus SE (WKN: A2YN35 / ISIN: DE000A2YN355 / XETRA: CA1), today announces the commencement of live operations of its robotic-based troop supply technology with the 3rd Army Corps of the Ukrainian Ground Forces in the Kyiv area – marking the first ever use of autonomous meal supply systems within an active conflict environment.

Therapy and mental health wellness work best when they are treated as a daily routine, not a weekly appointment, writes Joan M. Cook.

Google is removing thousands of articles from search due to spurious DMCA requests. The post US copyright law has been weaponised to silence reporting around the world appeared first on Press Gazette .

Cape Town-headquartered Cue secures an R82 million funding round, co-led by the venture capital firm and FAM Investments.

The legislation outlines how businesses can round cash transactions to the nearest nickel.

The social media platform rolls out new AI transparency tools and education initiatives for South African users.

Candidat à l’élection présidentielle de 2027, le patron du parti Les Républicains a publié un dense document sur ses positions sur l’IA, une technologie qui « n’attend pas notre consentement », selon lui. Il projette un investissement étatique de 23 milliards d’euros sur le quinquennat financé en partie par le non-remplacement et le redéploiement de […]

Subscriptions began on Thursday for shares in memory-chip maker ChangXin Memory Technologies (CXMT) ahead of its listing on Shanghai’s Star Market in what could be mainland China’s second biggest initial public offering. With pricing set at 8.66 yuan (US$1.28) per share, the IPO of nearly 6.7 billion shares will raise gross proceeds of 57.9 billion yuan (US$8.5 billion). If a 15 per cent overallotment option is fully exercised, the offering could expand to 7.7 billion shares and raise 66.6...

The company achieved this certification against ISO/IEC 42001:2023, the International Standards Organisation’s standard for AI, following an independent assessment by SanCert.

The post How to Research Private Schools Like an Investigative Reporter appeared first on ProPublica .

Cyber criminals are not measuring your security posture by the number of tools you’ve purchased, says John Mc Loughlin, CEO of J2 Software.

Regulator Ofcom finds evidence of children using the technology to get around age checks

Apple owns the smartphone. It owns the devices and the ecosystem around them. It owns the on-campus product launch. Steve Jobs built that, Tim Cook protected it, and now John Ternus has to carry it into the AI era. That’s the hard part. Especially when you consider that Apple is two years behind schedule when it comes to getting real AI into the hands of users. The recent Siri AI rollout everyone was waiting for didn’t change that. In fact, it felt to me (and many others I’ve talked to in the ex

The post Barns, Go-Karts and Strip Malls: The Wild West of Private Schools That Collect Taxpayer Dollars appeared first on ProPublica .

CMS wants to build a standardized payment structure for clinical software and AI that factors in their impact on patient outcomes.

CERT-In has proposed mandatory human oversight for high-value agentic AI payments, as NPCI and fintech firms develop protocols that could allow AI agents to make UPI transactions. The post MeitY proposes mandatory human-in-the-loop interventions in agentic AI payments appeared first on MEDIANAMA .

Das GeDIG-Gesetz erzeugt gemischte Reaktionen: Ärzte warnen vor Vertrauensverlust, die Digitalwirtschaft fordert unter anderem mehr Rechte bei der Datennutzung.

The relationship between Congress and the Pentagon over the past year has been marked by public disagreements and frustrations over lawmakers’ concerns about the Iran War, and by what some lawmakers view as politically motivated firings of top military leaders. In many ways, the House and Senate versions of the Fiscal Year 2027 National Defense Authorization Act reflect lawmakers’ efforts to check the Pentagon’s policy power.Innovation efforts are generally a bright spot in these political battl

Individuals who remove watermarks from AI-generated deepfakes could face jail time under a Greek draft law transposing the EU’s AI Act into national legislation. The ruling New Democracy party has ...

As local policymakers consider whether SA should join the global rush to ban social media for children, we must consider the risks of a nanny-state mentality.

Editor’s note: This is the tenth article in an 11-part series examining how the United States should organize, lead, and integrate economic statecraft into strategy, defense practice, and the broader national security ecosystem. The special series is brought to you by the Potomac Institute for Policy Studies and War on the Rocks. Prior installments can be found at the War by Other Ledgers page.The United States is fighting a new kind of global competition — over supply chains, chips, and sanctio

Physical AI startup SwitchOn has raised $8 Mn (about ₹ 77 Cr) in a pre-Series B funding round led by…

House Republicans Advance Legislation to Formally Dismantle ED jessica.blake@… Thu, 07/16/2026 - 03:00 AM Democrats argued that the legislation is counterproductive and would create more bureaucracy, not less. Byline(s) Jessica Blake

The Rise of the Nontraditional College Student Joshua.Bay Thu, 07/16/2026 - 03:00 AM In this week’s Voices of Student Success episode, IHE senior reporter Sara Weissman explores how higher ed demographics have changed and what institutions must do to adapt. Byline(s) Joshua Bay

On Techpoint Digest, we discuss telecoms in Niger facing new regulatory scrutiny, Rwanda launching the eKash instant payment platform, and IHS Towers securing new funding for growth.

Iberian hackers carried out a variety of cyberattacks and laundered the winnings through complex financial networks.

The distributors that will lead are investing in their partners' ability to grow, not just their ability to fulfil, says Andrew Harris, chief sales and marketing officer at DCC Technologies.

The Union Cabinet approved manufacturing programmes worth Rs 1.9 lakh crore to boost mobile phone production, semiconductor manufacturing, chip design, domestic sourcing and electronics jobs in India. The post Govt. clears Rs 1.9 lakh crore push for chips and mobile phones appeared first on MEDIANAMA .

Institutional laundry startup Quick Clean has raised ₹133 Cr (about $14 Mn) in a Series B funding round led by…

EU negotiators on Wednesday evening agreed on a new short-term €115 million funding programme to support small defence businesses and their disruptive innovations in 2027. The AGILE programme will ...

Mouchards installés avec une clé USB, téléphones vendus avec des logiciels espions pré-installés, écoutes et caméras cachées… En plus du logiciel Pegasus, le royaume chérifien a constitué un puissant arsenal répressif, déployé contre des journalistes ou des cibles politiques.

Project is part of ambitious goal to cut development times drastically and ultimately attract venture capital backing

Companies coming to market raise money at fastest pace this century, although many stocks perform poorly later

Agentic inference is reshaping the center of gravity in AI infrastructure. What began as a race to scale training has shifted into a phase defined by expanding context windows, memory‑augmented reasoning and the need to keep graphics processing units continuously fed with data. As enterprises push deeper into agentic systems, storage has moved into the […] The post Three insights you may have missed from theCUBE’s coverage of RAISE Summit appeared first on SiliconANGLE .

AI-powered sales intelligence startup Reo.Dev has raised $11.3 Mn (about ₹109 Cr) in a Series A funding round led by…

Xiaomi on Wednesday unveiled Xiaomi-Robotics-U0, a 38-billion-parameter multimodal autoregressive foundation model for embodied AI. The company said the model unifies four core capabilities within a single framework: embodied scene generation, embodied transfer, robot interaction video generation, and general-purpose image generation and editing. According to Xiaomi, the model can generate robot-ready environments from text prompts, adapt […]

DeepMind's announcement comes days after DeepMind CEO Demis Hassabis told Axios that governments should establish a standards body for frontier AI, underscoring t ...

Sensitive personal information taken.

Neocloud provider QumulusAI said today that it will starting trading Thursday as a publicly traded company on Nasdaq under the ticker symbol QMLS via a direct listing. For those unfamiliar with the process, the typical initial public offering takes time and requires an investment banker, whereas a direct listing does not create new shares. Instead, existing […] The post QumulusAI’s direct listing: Accelerating the neocloud for enterprise AI appeared first on SiliconANGLE .

Mastercard is opening an agentic AI sandbox in the UK, to help banks and retaillers explore, test and validate use cases before introducing them into production

How Salesforce sees the HAIP Reporting Framework reducing AI governance fragmentation and making transparency a competitive advantage. The post HAIP is transforming transparency from a compliance burden to a competitive advantage appeared first on OECD.AI .

Cars24 uses OpenAI-powered voice and chat agents to handle 1M+ monthly conversation minutes, recover 12% of lost leads, and bring agentic workflows to teams across the company.

[ PDF Version ] Trust & Safety (T&S) teams in the tech industry are currently at a “build or buy” crossroads. Waning budgets and mass layoffs, increased regulatory requirements, and new AI-based tools with impressive capabilities are changing T&S teams’ internal calculus on how to allocate limited resources to traditional T&S functions. T&S teams are […] The post To Build or To Buy? Human Rights Considerations for Trust & Safety Vendors appeared first on Center for Democracy and Technology .

CDT and the undersigned civil rights and civil society organizations write to you regarding the need for civil rights protections to be the foundation of any comprehensive artificial intelligence (AI) legislation. Specifically, we urge the House Democratic Commission on AI and the Innovation Economy (Commission) to support meaningful safeguards (mandatory bias testing, privacy and data […] The post Civil Rights Letter to the House Democratic AI Commission appeared first on Center for Democracy a

On 15 July 2026, CDT Europe and other 5 organisations representing standardisation, consumers, digital rights, doctors, pharmacists and hospitals published an open joint letter calling EU policymakers to maintain medical devices under the scope of the AI Act. In the letter, we express our serious concerns regarding the European Commission’s proposal to exclude medical devices […] The post Open Joint Letter on the AI Act Regulating AI-embedded Medical Devices appeared first on Center for Democrac

MENA's social media regulations give the appearance of legitimacy but threaten to increase state censorship and control. The post The game is up: how MENA’s social media regulations silence and control appeared first on Access Now .

MENA's social media regulations give the appearance of legitimacy but threaten to increase state censorship and control. The post The game is up: how MENA’s social media regulations silence and control appeared first on Access Now .

Welcome back to the Centre for Democracy & Technology Europe’s Tech Policy Brief! This edition covers the most pressing technology and internet policy issues under debate in Europe and gives CDT’s perspective on the impact to digital rights. To sign up for CDT Europe’s AI newsletter, please visit our website. This is our last edition before […] The post EU Tech Policy Brief Summer 2026 appeared first on Center for Democracy and Technology .

Today, the Future of Privacy Forum (FPF) published an Issue Brief comparatively analyzing developments in cross-border data transfer regulations in the Asia-Pacific (APAC) from 2023 to 2026. Titled Navigating Cross-Border Data Transfers in the APAC Region: An Analysis of Developments from 2023 to 2026, the Issue Brief examines the rapidly evolving landscape of cross-border data transfers […]

Vulnerabilities in voting systems are real and worth fixing. At the same time, the manner in which they are used to fearmonger does not reflect the actual security of elections. Security researchers do find real weaknesses embedded in the code and operations of U.S. voting systems, just like they do with power grids, banks, and […] The post FAQ: Voting System Vulnerabilities and How They Can Be Weaponized appeared first on Center for Democracy and Technology .

A blood test now helps doctors decide, in about 15 minutes, whether a patient with a suspected brain injury needs a CT scan. It took about 20 years to get there. That gap between scientific promise and clinical use tells us more about American innovation policy than most congressional hearings ever will. At one such ... A Patent, a Blood Test, and 20 Years of Waiting The post A Patent, a Blood Test, and 20 Years of Waiting appeared first on Truth on the Market .

This is the end of the university as you know it

Columbia Global Freedom of Expression seeks to contribute to the development of an integrated and progressive jurisprudence and understanding on freedom of expression and information around the world. It maintains an extensive database of international case law. This is its newsletter dealing with recent developments in the field. “The ruling reminds us of the value of […]

Today's links Deranged billionaires and their syndromes: The Mad Kings do love a syllogism. Hey look at this: Delights to delectate. Object permanence: PoGo v binding arbitration; Trump beat some absolute losers; Public interest internet; "Close to the Machine"; Gadget-friendly chinos; Gambiologia; Monkey selfie copyright; Prison towns v prison reform. Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend. Recent appearances: Where I've been. Latest books: You keep rea

On file deletions. We’ve investigated a handful of reports where GPT-5.6 unexpectedly deleted files. What we have found is that this most commonly occurs when: Full access mode is enabled and codex is run without sandboxing protections, including without auto review being enabled The model attempts to override the $HOME env var to define a temporary directory. The model makes an honest mistake and mistakenly deletes $HOME instead. — Thibault Sottiaux , describing a pretty gnarly Codex bug

From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer environments. These campaigns are successfully using ClickFix lures to steal ...

International law scholars address some of the factual claims and underlying assumptions in Secretary Marco Rubio's op-ed on dismantling the International Criminal Court. The post In Context: Analyzing Secretary Rubio’s International Criminal Court Op-Ed appeared first on Just Security .

America’s power grid has plenty of new customers and no shortage of new ideas. What it lacks is a regulatory system capable of connecting the two. Artificial intelligence data centers, advanced manufacturing, and cryptocurrency operations are driving electricity demand sharply higher. Yet the rules for connecting new power sources and major users remain slow, fragmented, ... Lightning in a Bottleneck: How Regulatory Gridlock Is Choking America’s Energy Boom The post Lightning in a Bottleneck: Ho

Daniel Solove argues in the Wall Street Journal (alternate link ) that giving people control of their personal data is not an effective way to regulate privacy in this era. Instead, we need to hold companies accountable for their actions, similar to what we do with food and drug companies. Measures such as rigorous data minimization, fiduciary duties, liability for negligent or reckless technological design, liability for algorithms that cause harm, and multi-stakeholder review of technologies w

Lila is betting that science, not the internet, is the last untapped source of training data. We went to find out what that actually looks like in a room full of robots.

A retired judge advocate explains how a future administration could decide who to prosecute for the illegal strikes on alleged drug-trafficking boats. The post How to Choose Which Military Members to Hold Accountable for Illegal Boat Strikes appeared first on Just Security .

Federal law specifies that involuntary mobilization is to be used only to provide military forces for war or national emergencies. The post Why It’s Wrong to Involuntarily Mobilize Reserve JAGs for Immigration Cases appeared first on Just Security .

At New America, our work spans across five issue areas—each essential to building a nation and a world where everyone can thrive. For over 25 years, New America’s insights and policy solutions have ...

Alta Ares CEO Hadrien Canter on Europe's lost air superiority, the field data loop behind drone interception, and why quantity is now the quality.

Collection of expert analysis on the legality of the U.S. strike on Venezuelan vessels in the Caribbean, the consequences of the strike, and related issues. The post Collection: U.S. Lethal Strikes on Suspected Drug Traffickers, Operation Southern Spear, Operation Absolute Resolve appeared first on Just Security .

Published on July 12, 2026 11:26 PM GMT AI Use Note: Main body text entirely human written. Claude (Opus 4.8) helped develop models of animal life histories in the appendix. Cross-posted from Good Structures . Executive Summary Animal advocates sometimes make claims like “there are X of this animal, and Y>X of this animal, so Y might be a better target to focus on.” For example, you could imagine someone making a claim like “there are 20 quadrillion ants , so they are a higher priority to work o

As AI agents become more autonomous, strong identity, access, and auditing controls are critical to keeping them secure.

Australia's latest AI governance initiatives, heightened privacy enforcement and increasing regulatory cooperation signal a future in which AI, privacy, cybersecurity and digital accountability are ...

Australia is a country highly vulnerable to the impacts of climate change, with the weathered, arid continent frequently buffeted by fires, floods, heatwaves and storms. It is also one of the largest exporters globally of fossil fuels, coal and gas. Situated close to Pacific Islands existentially threatened by climate-fuelled rising seas, Australia is a constitutional democracy with an active civil society, an abiding commitment to the rule of international law and this year holds the role of “P

On June 11, 2026, the German automotive company Volkswagen was convicted in four different lawsuits by the Brazilian Labor Court for reducing people to slavery in the Brazilian Amazon. While this judgment marks the company’s second round of convictions for enslavement within the Amazonian state of Pará, it stands out as a historic first in the form of individual reparations for corporate crimes committed nearly fifty years ago. This opens the way for a new era of reckoning with several other com

There isn’t one China, but two, and both are now very different countries, with some common cultural traits from a shared distant past. Alas, the current One Ch ...

5th International Conference on Software Engineering and Automation [Melbourne, Australia] [Aug 15, 2026 - Aug 16, 2026]

2nd Workshop on Smarter Extraction of ScholArly MEtadata using Knowledge Graphs, Language Models and Agents (SESAME) at JCDL 2026 [Dallas, Texas, USA] [Oct 13, 2026 - Oct 26, 2026]

Tool: Mermaid to Unicode box art (grok-mermaid) While exploring the codebase for the newly open-sourced Grok CLI coding agent I came across xai-grok-markdown/src/mermaid.rs , a "self-contained terminal renderer for Mermaid diagrams" written in Rust. I figured it would be fun to try that out in a browser via WebAssembly. Here's the prompt I ran in Claude Code for web (Fable 5), and this is what the resulting tool looks like: Tags: tools , rust , webassembly , mermaid , grok , xai

Commission accepts X’s action plan to comply with Digital Services Act Anonymous (not verified) Thu, 07/16/2026 - 11:18 The European Commission has accepted X’s action plan to comply with transparency obligations and researchers’ access to data, under the Digital Services Act. The approved measures represent an important step in enabling researchers, civil society and the public in general to gain more transparency into X’s systems, in particular to monitor X’s systemic risks and to assess the p

Clinical laboratory testing technology has advanced significantly since the Clinical Laboratory Improvement Amendments of 1988 (CLIA) regulations were implemented in 1992. This request for information (RFI) seeks input from the public regarding various topics related to the CLIA regulations, including: breath testing; laboratory processes and procedures; emergency preparedness, biosafety and biosecurity, and cybersecurity; and specialty testing areas. Responses to this RFI may be used to help in

This proposed rule addresses: changes to the physician fee schedule (PFS); other changes to Medicare Part B payment policies to ensure that payment systems are updated to reflect changes in medical practice, relative value of services, and changes in the statute; codification of establishment of new policies for: the Medicare Prescription Drug Inflation Rebate Program under the Inflation Reduction Act of 2022; the Ambulatory Specialty Model; updates to drugs and biological products paid under Pa

Hundreds of billions of dollars of private investment flood into artificial intelligence – while many developing countries receive just a trickle. AI risks pushing the world towards even greater ...

AI creates opportunities for Latvia but limited digital skills among the workforce and low firm-level adoption limit potential productivity gains. The country has a capable digital infrastructure, but ...

Why This Matters U.S. clinicians average a 57-hour workweek, including 7 hours of administrative work. Time spent on tasks like drafting patient visit notes or reviewing billing paperwork may contribute to clinician burnout. New AI tools could increase efficiency and reduce administrative burdens during and after patient visits. Key Takeaways Some health care providers are adopting AI tools to assist with note taking and medical coding, which may save time and reduce burnout. The accuracy of the

What GAO Found A Secretary of Energy memorandum directed revisions to the Department of Energy’s (DOE) construction order (known as 413.3B) to (1) allow increased delegation of approval authority for projects estimated to cost up to $300 million; and (2) limit independent reviews for projects estimated to cost between $300 million and $1 billion. As of January 2026, DOE and the National Nuclear Security Administration (NNSA) were managing 80 capital asset projects at laboratories and sites where

What GAO Found A resilient and skilled cybersecurity workforce is essential to protecting federal information technology (IT) systems and enabling the government’s day-to-day functions. The Federal Rotational Cyber Workforce program, managed by the Office of Personnel Management (OPM), provides opportunities for members of the federal cyber workforce to gain experience in IT, cybersecurity, and other cyber-related positions. Agencies can participate in the program by either advertising a positio

Judges, magistrates and legal officers from across Namibia’s justice system gathered at the United Nations House in Windhoek from 23 to 25 June 2026 for the second edition of the UNESCO Training on ...

An Integrated, Prosperous and Peaceful Africa, driven by its own citizens and representing a dynamic force in the global arena.

Out of everything the human brain processes, only a small fraction is consciously accessible, in the sense of being available for verbal report, deliberate control, and flexible reasoning. In this paper, we present evidence that an analogous functional distinction has emerged in large language models. Using a new interpretability technique, the Jacobian lens, we identify the representations a model is poised to verbalize at any point in its processing. These representations, which we collectivel

As artificial intelligence (AI) systems increasingly impact society, ensuring their ethical and trustworthy deployment has become a global priority. While a myriad of high-level ethical guidelines have emerged, criticism persists that these frameworks remain abstract and lack concrete mechanisms for implementation. This paper conducts a critical analysis of tools and trust mark frameworks intended to operationalize trustworthy AI (TAI), drawing on a comprehensive dataset from the OECD. Through e

Electronic health record audit logs record timestamped actions through which clinical work is carried out. Generated as operational metadata, they now support research on clinician effort, patient outcomes, care-team coordination, and workflow structure. This Perspective explains that breadth by articulating audit logs as multi-axial event streams and drawing implications for representation learning, evaluation, and governance. Each logged action belongs simultaneously to multiple clinically mea

We present SceneBind, an omni-modal representation of realistic scenes with joint semantic and 3D spatial understanding across vision, audio and language. Existing omni-modal encoders excel at instance-level semantics (i.e., what is present), but often lack explicit spatial structure (i.e., where it is). SceneBind addresses this gap by representing each scene as a semantic-spatial entity, combining a global semantic embedding with object-centric semantic-spatial slots. This representation explic

Evidence synthesis is crucial for turning primary research into reliable knowledge for science, medicine, education, and policy. Yet, quantitative evidence synthesis remains largely manual and difficult to scale. Here, we introduce AutoSynthesis, an end-to-end multi-agent system for automated meta-analysis. Given a research question in natural language, AutoSynthesis formulates a search strategy, retrieves scientific literature, screens candidate studies, assesses full-text eligibility, extracts

Most medical AI benchmarks measure whether a model knows the correct answer. MedFailBench asks a different question: which safety boundary failed? We present a clinician-built synthetic benchmark and failure atlas that labels medical AI errors by severity (1--5) and safety gate type (missed urgent escalation, unsafe remote dosing, unsafe discharge reassurance, evidence fabrication, unsafe protocol execution, source support gap). The current public release (v0.2.1) contains 44 clinician-reviewed

Online encyclopedias shape political opinion and, through it, democratic discourse. In late 2025, Grokipedia was released, an encyclopedia written entirely by the LLM Grok. One motivation behind the project was to provide an unbiased alternative to Wikipedia, which has faced accusations of "left-wing" and "liberal" bias. But does an encyclopedia written by an LLM deliver greater neutrality, or does it simply embed a different ideology? We conduct a large-scale political bias study on Grokipedia

The formation of political coalitions is a complex negotiation driven by both concrete policy objectives and deep-seated ideological convictions. While Large Language Models (LLMs) open new avenues for computational political science, the neutrality and helpfulness biases instilled by Reinforcement Learning from Human Feedback (RLHF) prevent them from sustaining steadfast partisan behaviour. We present a multi-agent framework that reconciles factual grounding with ideological alignment by combin

The formation of political coalitions is a complex negotiation driven by both concrete policy objectives and deep-seated ideological convictions. While Large Language Models (LLMs) open new avenues for computational political science, the neutrality and helpfulness biases instilled by Reinforcement Learning from Human Feedback (RLHF) prevent them from sustaining steadfast partisan behaviour. We present a multi-agent framework that reconciles factual grounding with ideological alignment by combin

The Internet taught us that the value of a network depends on \emph{how} its nodes connect: broadcast stars scale as $V\!\propto\!N$ (Sarnoff), fully-connected meshes as $N^2$ (Metcalfe), and group-forming networks as $2^{N}$ (Reed). We ask the analogous question for networks of AI agents. We model the net value of connection as a function of coordination-group size, derive from it the properties an optimal collaboration protocol must have, and introduce ANet Patu-1 -- a self-organizing consensu

Canadian organizations deploying artificial intelligence systems face a fragmented regulatory landscape spanning federal requirements (the Treasury Board Directive on Automated Decision-Making) and divergent provincial regulations across Ontario, Quebec, Alberta, Manitoba, and British Columbia. The death of Bill C-27 (Artificial Intelligence and Data Act) in January 2025 - and the federal government's June 2026 confirmation that it will pursue targeted instruments rather than omnibus AI legislat

The integration of AI-driven systems in creative work has sparked debates among artists and legal communities about notions of ownership. Yet there remains little consensus on how ownership should be defined and attributed when human and AI contributions are intertwined. To provoke critical reflection on these tensions, we designed ArtSplit, a provotype that explicitly quantifies human and AI contributions across different stages of creative work. Rather than aiming to resolve ownership, the pro

This paper suggests the adoption of a novel inversion in AI ethics: instead of asking how humans should treat artificial superintelligence (ASI), it examines how future sentient ASI may morally consider and evaluate humanity. We are not only designing intelligent systems but also shaping the initial conditions under which those systems form judgments about us. The paper proposes a preliminary set of post-human moral principles that may govern sentient ASI actions. The implication is that technic

Per-subgroup fairness audits of medical image classifiers face a sample-size problem: minority subgroups in held-out test sets have so few samples that the resulting confidence intervals on per-subgroup performance are wider than the bias the audit is meant to detect. We argue that a demographically-conditioned synthetic generator can do both: mitigate bias on the training side and detect bias on the evaluation side. Working on COVID-19 chest CT classification with an end-to-end fine-tuned Stabl

Text-to-image (T2I) models can synthesize realistic, prompt-aligned images, yet samples generated for the same prompt often cover only a small subset of visually distinct modes. This limits the diversity of images, and for person-centric prompts, can reflect or amplify demographic skew. We formalize this problem as coverage of a predefined set of semantically specified modes, which we call target-mode coverage. We then propose multi-axis max@K, a group-based reinforcement learning objective for

Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs. This progress sidesteps the ethical and legal burdens of collecting real biometric data, yet evaluation has not kept pace. Even studies that train entirely on synthetic images still rely on real-face benchmarks to measure performance, leaving the privacy problem only half solved. We ask whether synthetic datasets can replace real benchmarks for

Addressing a structural-engineering request requires more than a single answer; it requires a chain of interdependent artifacts: interpreted requirements, a computable model, validation records, solver outputs, code-check records, and a final report. Evaluations centered on question answering or script generation rarely verify this complete evidence chain and may therefore reward fluent outputs even when the underlying engineering workflow is incomplete, internally inconsistent, or non-executabl

Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, institutional capacity, and redress mechanisms. GIRAI 2026 assesses these across five dimensions: Inclusion and Diversity, Ethics and Sustainability, Labour and Skills, Trust and Safety, and AI Use in Public Service. A global network of 135 country-level researchers col

Efficient multimodal document question answering with explicit visual grounding, locating the precise document region that supports each answer remains an open challenge. Current approaches bifurcate into Supervised Fine-Tuning (SFT), which requires large annotated datasets and reaches optimization plateaus, and reasoning-centric Reinforcement Learning (RL), which depends on verbose intermediate traces that inflate inference token cost without clear benefit. We introduce Perception-RFT, a traini

Abductive reasoning operates in two directions. The synthetic mode builds explanations from available hypotheses; the analytic mode, conversely, identifies the latent factors whose interaction accounts for a complex observed state. This paper develops the analytic mode as a non-greedy, risk-sensitive discipline of commitment, in which candidate factors coexist and interact, resolving into committed conclusions only when explicit governance conditions are met. The formal core is the $κ$-$τ$ appar

Machine learning (ML) models deployed in sensitive domains such as healthcare, law enforcement, and finance must satisfy not only utility requirements but also fairness and privacy guarantees. While prior work has largely examined how privacy-preserving techniques affect fairness, the inverse question-how fairness-enhancing algorithms influence privacy leakage-remains underexplored. We present the first comprehensive study of how fairness interventions affect membership inference privacy risks a

This study examines the cross-prompt generalization and first-language (L1) scoring effects of a LoRA-adapted open-weight large language model (Gemma-3-27B-it) applied to automated essay scoring. Using the identical model and inference configuration reported in "AiAWE: An Open-Source LLM Automated Writing Evaluation System Using LoRA-Adapted Instruction-Tuned Models" (Gayed, 2026), which was fine-tuned on 480 argumentative essays from two prompts, we evaluate scoring accuracy on the full TOEFL11

Artificial intelligence (AI) is rapidly transforming economies, societies, and polities, raising fundamental questions about how it should be regulated. Policymakers face choices over whether to prioritize innovation or safety, rely on public oversight or private self-regulation, and govern nationally or internationally. Yet little is known about how citizens evaluate these competing priorities. Here we report a conjoint survey experiment conducted in seven countries with diverse political and e

Recent advances in large language models (LLMs) and their extension to vision-language models (VLMs) have made it easier to combine text and images for tasks such as report generation. Existing VLMs in medicine typically focus on 2D images (chest X-rays), and their extension to 3D imaging has been difficult because of the lack of paired 3D imaging-text data. Thus, we introduce a new method for creating a 3D image-text dataset for brain oncology using 3D MRI scans of glioma and meningioma cases.

We introduce \emph{gate-zero growth}, a function-preserving (FP) operator for continual learning that adds new residual blocks through a zero-initialised gate. Under a transversality condition, gate-zero growth induces \emph{rank separation} in the functional Jacobian: old directions are unchanged, new-weight directions are exactly flat at the growth point, and new gate directions are the only first-order source of new functional variation. As gates open during continual learning, function drift

AI software development agents are increasingly capable of modifying infrastructure and security critical systems, creating risks where an agent completes its assigned task while covertly weakening safeguards through actions such as broadening permissions, degrading logging, or introducing persistence mechanisms. While frontier laboratories may deploy sophisticated monitoring pipelines, many organizations and individual users adopting coding agents lack the resources and governance maturity requ

Industrial time series serve as the foundation for Prognostics and Health Management (PHM) to ensure the reliability and safety of industrial equipment such as aero-engines. However, existing approaches are typically limited to single-modality modeling, which restricts their generalization in complex scenarios. Although recent advances in large language models (LLMs) provide new opportunities for multimodal learning, bridging continuous time-series signals and discrete textual semantics remains

AI assistants increasingly retrieve web content at inference time to provide fresh and grounded answers, yet it remains unclear whether these search-augmented capabilities respect website-owner restrictions expressed through robots.txt. We present a controlled empirical study of ten widely used AI assistants with advertised web-search capabilities. For each assistant, we first identify a configuration that actually produces observable web-browsing behavior and record the user-agent exposed durin

The increasing complexity of state-of-the-art machine learning models has made their behavior progressively harder to interpret, spurring rapid advancements in the field of eXplainable Artificial Intelligence (XAI). Among many methods proposed, perturbation-based approaches play a major role. By systematically altering (perturbing) input features, these approaches measure the impact on the model's predictions. For image data, traditional perturbation techniques, often involve replacing pixel val

Recent research in clinical machine learning, focusing on outcome predictions in intensive care unit (ICU), has shifted from bespoke supervised models to foundation models, utilising modern representation learning methods. Here, foundation models are pre-trained on mixtures of complex clinical data modalities, useful for various downstream tasks. Existing works often utilise Electronic Health Records (EHR) to provide rich and diverse patient observations to train clinical foundation models. Howe

Background: Malawi was a pioneer among African countries in implementing a coordinated, government-led effort to streamline COVID-19 support using digital health tools. In response to the pandemic, a COVID-19 WhatsApp chatbot was developed to support the public with information, symptom reporting, and service navigation during the pandemic. Objective: This study describes the national deployment, functionality, and use patterns of the WhatsApp chatbot during the COVID-19 pandemic in Malawi. Meth

Despite strong capabilities in data understanding and decision-making, autonomous data science agents still heavily rely on trial-and-error workflows that involve expensive computation. This bottleneck motivates models that can anticipate the effects of data science operations before real execution. In this paper, we introduce the concept of Data Science World Model, which model the data science execution environment by predicting environment state transitions conditioned on current workflow sta

Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating components whose execution traces can shape future foundation models. This motivates harness-in-the-loop learning: optimizing harnesses for both immediate agent performance and the quality of traces used for future model training. However, continually updating provider-built scaffolds is costly and labor-intensive. We therefore investigate whether optimizing user-constructed harnesses in a ta

Large language models (LLMs) are transforming recommender systems from matching co-occurrence patterns in historical behavior toward reasoning about the intent that drives it. RecGPT-V1 pioneered this paradigm on Taobao by centering user understanding, and RecGPT-V2 scaled it via coordinated multi-agent reasoning; both are deployed in production with consistent gains in user experience and commercial outcomes. However, operating RecGPT at scale reveals three challenges: (1) stateless behavior mo

The post-training of Vision-Language-Action (VLA) models is essential due to the diversity of simulators, robot embodiments, and task objectives. Existing compute services, whether offered as direct accelerator rental or batch-workload submission, typically allocate an exclusive set of GPU and CPU resources to a single tenant. While this paradigm maximizes client flexibility, it burdens users with infrastructure adaptation, and the fixed card-hour accounting model renders short or bursty workloa

Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completion. Such measurements are useful but incomplete: in operational security, every reasoning step, tool call, telemetry query, and enrichment request consumes budget. We evaluate language-model security agents through this cost-success lens on offensive Cybench challenges and defensive Splunk BOTS v1 in

Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-training remains unclear. We study vanilla Muon in sparse-reward agentic RL through matched single-seed comparisons with AdamW on ALFWorld using Qwen2.5-0.5B-Instruct. Under Group-in-Group Policy Optimization (GiGPO), applying Muon only to hidden weight matrices raises final-window validation success from 0.290 to 0.546 (+88%); high-rate AdamW controls retain no post-update success. The

Mobile graphical user interface (GUI) agents have demonstrated remarkable capabilities in automating complex tasks, yet they introduce critical safety risks where a single erroneous action can lead to irreversible consequences. Existing safety mechanisms are primarily reactive, lacking the ability to assess risks before execution. In this paper, we introduce SeerGuard, a consequence-aware safety framework designed to mitigate these risks through pre-execution instruction-level screening and acti

Modern video generation models are increasingly hailed as emerging world models with an internalized grasp of physical law. Yet existing benchmarks largely evaluate physical plausibility only at the output level, without verifying whether the model arrives there through a faithful, law-grounded reasoning process. We introduce Apple-PI, the first benchmark that anchors video-model evaluation explicitly in physical laws. Apple-PI comprises three components. 1) Orchard: a dataset of 400 videos cove

Experiment trackers show how training is progressing, but changing a live run still usually requires trainer-specific code. We present Interactive Training 2, an open-source control plane for steering training through a shared protocol. Training applications declare which settings and actions they expose, humans and automated controllers submit requests through the same interface, and the training loop validates and applies them at safe control points. A customized Aim workspace combines live me

Background: eHealth interventions have demonstrated potential to address challenges related to health and the health care system in low- and middle-income countries. To effectively leverage eHealth in supporting health care in Ethiopia, the assessment and development of the eHealth literacy of patients are essential. Objective: This study aimed to translate the eHealth Literacy Questionnaire (eHLQ) to Amharic and assess its psychometric properties. Methods: A systematic process of translation, i

Background: Standard echocardiography reports use complex terminology, limiting patient comprehension and exacerbating preconsultation anxiety. Large language models (LLMs) can transform technical data into patient-friendly narratives by incorporating longitudinal comparisons with prior examinations. Objective: This study aims to develop an LLM-based patient-friendly echocardiography reporting system and evaluate its professional safety, patient comprehension, and impact on short-term anxiety. M

Background: Just-in-time adaptive interventions (JITAIs) use real-time data to deliver personalized support at moments of heightened need and may improve dietary behaviors in real-world settings. Objective: The aim of this study is to systematically review the application, characteristics, and effectiveness of JITAIs in dietary health management. Methods: We included human studies evaluating JITAIs-based dietary interventions delivered through digital platforms that used real-time or near–real-t

Large language models (LLMs) are increasingly embedded in clinical and population health workflows, including conversational agents such as health chatbots. As chatbots evolve from rule-based approaches to hybrid and LLM-enabled designs, risks and concerns about deployment readiness shift. Unlike rule-based chatbots, LLM outputs can be unpredictable, error-prone, and difficult to validate with traditional evaluation methods. Public health teams integrating customized LLMs into interventions face

Background: Digital technologies are becoming an important part of health care, including for individuals with attention-deficit/hyperactivity disorder (ADHD). Digital health innovations present valuable opportunities to provide flexible and tailored support for their diverse needs, along with significant challenges. Attentional, organizational, and motivational characteristics associated with ADHD may affect how individuals engage with digital tools. Potential risks include additional access ba

Background: Patients increasingly use large language models (LLMs) to obtain medical information, but the quality of LLM-generated information on complex spinal infections such as spondylodiscitis remains uncertain. Existing evaluations in spine surgery have mainly addressed degenerative conditions or surgical procedures, and disease-specific data for spondylodiscitis are limited. Objective: This preliminary study evaluated spine surgeons’ ratings of single-turn LLM responses to 10 author-curate

World-action models (WAMs) are emerging as a promising foundation for embodied control: rather than predicting actions alone, they learn representations that couple action generation with future world prediction. This coupling is often viewed as a source of robustness, interpretability, and safety, as a robot's action can in principle be checked against its imagined future. In this paper, we show that this assumption is fragile. We introduce BadWAM, a unified framework for modeling and evaluatin

Multimodal models such as CLIP learn a shared embedding space for cross-modal retrieval, but continual adaptation to sequentially arriving data can disrupt the cross-modal alignment acquired from earlier phases. Conventional continual-learning methods return a single checkpoint, which commits every retrieval direction to the same stability-plasticity trade-off. We propose AlphaWiSE, a post-hoc weight-space interpolation method that composes two frozen source checkpoints. For each aligned paramet

Carolyn Geason-Beissel/MIT SMR | Getty Images As multinational companies implement artificial intelligence workflows and look to adopt AI across their global operations, they are increasingly running up against country-specific regulations and policies that aim to govern AI and align its use with national priorities and local cultural norms. These regulations and policies — which fall […]

Multimodal Contrastive Learning (CL) has shown significant performance in aligning representations across various data modalities and improving downstream tasks, especially in healthcare. It works by minimizing the distance between matched (positive) data modalities, while maximizing the distance between mismatched (negative) samples. Traditional CL frameworks typically assume instance-based correspondence within data batches, treating all non-paired samples as negatives. However, this assumptio

Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Shuaiwen Chang, Qiongwen Cheng

Publication date: Available online 15 July 2026 Source: Computers in Human Behavior Author(s): Rongyi Chen, Qing Xiao, Shike Lin, Jingjia Xiao, Menghan Yin, Yucong Ma, Bingbing Zhang, Hua Zhong

Publication date: Available online 14 July 2026 Source: Computers in Human Behavior Author(s): Yonathan Dri Handarkho, Th. Devi Indriasari, Yohanes Sigit Purnomo Wuryo Putro, Citra Yayu' Palangan

Publication date: October 2026 Source: Research Policy, Volume 55, Issue 8 Author(s): Isabel Almudi, Francisco Fatas-Villafranca, Carlos M. Fernández-Márquez, Jason Potts, Francisco J. Vázquez, Eric von Hippel

Publication date: Available online 14 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Yiyun Dong, Chuanyang Peng, Yichen Wu, Shihui Shen, Xiaodan Sun, Tiannan Chen, Shanbin Guan, Changquan Wang, Ersheng Ni, Tianbin Huang, Jiang Tao

Publication date: Available online 14 July 2026 Source: Computers and Education: Artificial Intelligence Author(s): Chenglu Li, Gökhan Gülfidan, Yinqi Zhang-Kopf

arXiv:2607.13038v1 Announce Type: new Abstract: We present the design and implementation of a safety constrained large language model (LLM) system for public health information access, focusing on maternal and child health (MCH) resource navigation. While LLM based systems offer flexible and natural interfaces for information retrieval, their deployment in healthcare contexts introduces risks related to safety, trust, and uncontrolled generation. This work explores practical design patterns for

arXiv:2607.13039v1 Announce Type: new Abstract: Safety evaluations for dual-use biology assistants often measure base-model capability, refusal behavior, or jailbreak success. These metrics miss a deployment question: for a fixed base model, how does the access condition users actually see change benign utility and harmful actionable assistance? I introduce safeguard-conditioned uplift, a protocol for comparing deployed access conditions through a human-judged utility-risk frontier. I evaluate C

arXiv:2607.13040v1 Announce Type: new Abstract: This paper examines where final authority should sit once capable AI systems are embedded in organizational workflows. It compares two governance models. The first, frontier-provider sovereignty, assigns privileged authority to the provider of the most capable models and is reflected in contemporary arguments for frontier-model testing, release gating, transparency duties, and compute-related controls. The second, action-centered deployer sovereign

arXiv:2607.13041v1 Announce Type: new Abstract: Large Language Model (LLM) based AI educational content generation systems are increasingly being developed, yet no standardised benchmark exists to systematically evaluate them. This study introduces LessonBench-V1, a benchmark dataset comprising 647 human-written lessons paired with LLM-based reverse-engineered lesson plans across 240 STEM topics spanning mathematics, physics, chemistry, and computer science. The lessons are drawn from 97 trusted

arXiv:2607.13094v1 Announce Type: new Abstract: The rise of Artificial Intelligence (AI) enables automatic analysis of large amounts of data. Previously time-consuming and labor-intensive tasks can be completed much more efficiently with the use of AI. This work uses AI techniques to analyze and revise curricular patterns in an undergraduate degree for Software Engineering. Curricula often have long sequences where failure to pass a class within the sequence may jeopardize completion of the degr

arXiv:2607.13272v1 Announce Type: new Abstract: In a recent dynamic model by Acemoglu, Kong and Ozdaglar (2026a) agentic AI can cause a self-reinforcing deterioration of humanity's common knowledge base in what they call knowledge collapse. The model is based on a natural complementarity between the cumulative general knowledge of humans and locally generated context-specific knowledge, and on a learning externality that means that we all contribute to the private signal and the thin public sign

arXiv:2607.13370v1 Announce Type: new Abstract: This paper is an extension of a paper presented at the ICAART 2026 conference, which introduced LEA (Learning Engagement Assistant), an adaptive AI tutoring agent combining course-specific Retrieval-Augmented Generation (RAG) with structured Knowledge Component (KC) models across integrated Chat, Tutor, and Quiz modes. That prior work validated LEA on a single STEM course (CMP511) exclusively through simulation, using synthetic learner agents. This

arXiv:2607.13443v1 Announce Type: new Abstract: Sovereign AI has become a strategic priority across the Global South, with over \$200 billion in state-led commitments announced between 2024 and 2026. Yet the physical infrastructure that compute sovereignty demands, above all data centers, imposes water, energy, and carbon costs that fall hardest on countries least equipped to absorb them. This paper presents a comparative environmental stress analysis across four cases: the United Arab Emirates,

arXiv:2607.13082v1 Announce Type: cross Abstract: Watermarking is often presented as a straightforward solution for distinguishing AI-generated from human-generated content, enabling platforms and regulators to trace synthetic content and detect AI-generated outputs at scale. This paper examines whether such mechanisms meaningfully address the epistemic and ethical challenges that arise in domains where the central concern is not the automation of content production, but the accuracy, intent, an

arXiv:2607.13230v1 Announce Type: cross Abstract: Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and interact with third-party services. This paper develops an AI-native mathematical framework for underwriting, pricing, and contract design for agentic AI deployments. A deployment is represented by a risk state that captures autonomy level, operational authority, permission exposure, governance maturity,

arXiv:2607.13369v1 Announce Type: cross Abstract: We present xChk, a reference identity provider for Bring Your Own Identity (BYOI): users enroll via heterogeneous proofs (government KYC, corporate SSO, WebAuthn/FIDO2, professional networks, live verification, longitudinal activity, behavioral signals) and disclose them as portfolio claims in standard OAuth 2.0 / OpenID Connect (OIDC) tokens, while each relying party applies its own sufficiency policy - the IdP transports claims and may evaluate

arXiv:2607.13766v1 Announce Type: cross Abstract: Digital twins are used across many industries to enable better decision making. However, while policy makers at all levels (including city, national and supranational scales) have expressed a desire to integrate digital twins into their workflows, this adoption has been slow to materialise. In this paper, we discuss the key issues associated with policy digital twins, and the ways in which they differ from, and are similar to, their counterparts

arXiv:2607.13914v1 Announce Type: cross Abstract: This paper presents a holistic systems informatics approach, i.e., Define, Measure, Analyze, Improve, and Control (DMAIC), for epidemic response and management through the intensive use of data, statistics and optimization. Despite the sustained successes of system informatics in a variety of established industries such as manufacturing, logistics, services and beyond, there is a dearth of concentrated review and application of the data-driven DM

arXiv:2607.14037v1 Announce Type: cross Abstract: Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositor

arXiv:2511.01923v2 Announce Type: replace Abstract: Generative artificial intelligence (GenAI) systems rely heavily on user-generated data for training. As governments and platforms impose increasing restrictions on the use of personal data, an important question is whether limiting access to user data for AI training affects the performance of AI-enabled economic systems. We examine this question in the context of labor-market matching. Our setting exploits a unique sequence of LinkedIn policy

arXiv:2605.13866v2 Announce Type: replace Abstract: Humans increasingly delegate consequential decisions to language models, yet whether these systems reproduce or reshape human patterns of discrimination remains unclear. Here, across 29 models and 177 occupations covering nearly half of U.S. employment, we show that language models incorporate demographics into hiring decisions, advantaging female and Black candidates while penalising disabled candidates, with effect sizes comparable to six mon

arXiv:2605.16281v2 Announce Type: replace Abstract: Post-deployment accountability has become central to AI governance, yet little empirical evidence shows whether monitoring, incident reporting, and impact assessment obligations are visible when AI systems fail. This study analyzes real-world AI incidents from the AI Incident Database (2020--2026) and codes them against nine post-deployment provisions from the EU AI Act, the NIST AI Risk Management Framework, and the GDPR. The findings show sub

arXiv:2606.10711v2 Announce Type: replace Abstract: The agentic web, in which users interact with the internet largely through agents acting on their behalf, is now technically feasible. However, many of the consumer and social benefits that could be realized by online AI agents acting scrupulously in their principals' interest are currently obstructed by outdated laws, terms of service, and other less formal practices which allow online platforms to block and degrade agent access, often in secr

arXiv:2607.08842v2 Announce Type: replace Abstract: Despite rapid AI adoption in education, rigorous evaluation of AI-powered educational (AIED) systems remains critically underdeveloped, particularly in second language (L2) education, one of the most common yet least evaluated AI applications. We introduce L2-Bench, an open-source benchmark of 1,000+ task-response pairs to aid the pedagogy-led evaluation of LLM capabilities relating to language learning and assessment. Crucially, L2-Bench measu

arXiv:2510.26707v2 Announce Type: replace-cross Abstract: As LLMs occupy an increasingly important role in society, they are more and more confronted with questions that require them not only to draw on their general knowledge but also to align with certain human value systems. Therefore, studying the alignment of LLMs with human values has become a crucial field of inquiry. Prior work, however, mostly focuses on evaluating the alignment of fully trained models, overlooking the training dynamics

arXiv:2606.02528v2 Announce Type: replace-cross Abstract: Large language models now power robo-advisors and trading agents, yet whether they carry built-in biases toward specific assets is largely untested. We ask three questions: do LLMs systematically prefer certain financial instruments; can an internal representation with causal leverage over those preferences be identified; and does that representation affect downstream financial decisions? We develop a three-level audit protocol and apply

Generative Artificial Intelligence has undergone rapid maturation between 2023 and 2025, driven by three converging paradigm shifts: the emergence of multimodal foundation models unifying text, image, audio, and video synthesis; the rise of agentic autonomy transforming generative systems into goal-driven, autonomous entities; and the formalization of responsible AI governance through legally enforceable regulations. While this technological landscape has generated substantial economic impact, c

BackgroundViral non-suppression is the primary actionable risk state in routine HIV care, yet most individuals are identified after virological failure and/or drug resistance, rather than proactively. In Uganda and similar resource-limited settings, routine electronic medical records (EMR) are collected at scale but remain underused for targeted, data-enabled risk stratification. We aimed to develop and internally validate machine learning and regularized regression models for predicting viral n

Generative AI tools can produce polished academic text on demand, undermining the validity of assessments that treat written submissions as evidence of individual learning. Detection-based countermeasures have demonstrated variable accuracy and equity concerns. This paper does not report empirical outcomes or validation data. It proposes a framework for AI-resilient assessment that shifts evaluation from product quality to demonstrable reasoning, decision-making, and ownership of learning. The f

The increasing insecurity of traditional methods such as passwords and PINs has raised significant interest in behavioral biometrics. Keystroke Dynamics (KSD), which relies on the unique manner in which an individual types, is a promising candidate for continuous and unobtrusive authentication. This study presents a hybrid model for KSD that combines a Long Short-Term Memory (LSTM) network with an ensemble of Random Forest, XGBoost, and Multilayer Perceptron classifiers using a soft-voting strat

BackgroundStandard Retrieval-Augmented Generation (RAG) systems only use semantic similarity to retrieve information, and since this method is quite limiting, it may find clinically irrelevant evidence and produce outputs that are unsafe or hallucinated. This drawback is particularly important in respiratory care, where the diagnosis relies heavily on very accurate physiological indicators such as spirometry patterns and symptom profiles.MethodsWe propose MMCRAG-Resp., a clinically grounded, phy

This paper addresses the problem of multi-robot coordination for complex manipulation task sequences. We present a vision-driven task-and-motion planning (TAMP) framework for a real dual-agent platform that integrates task decomposition and allocation with a learning-based planner. A GMM-informed RRT motion planner is coupled with a hybrid safety layer that combines predictive collision checking in a MoveIt/FCL digital twin with reactive avoidance and replanning. This integration is challenging

BackgroundThe systematic integration of robotics into health service delivery systems requires periodic assessment of robotic readiness in terms of digital-health maturity regimes across countries. The current study aims to cluster 169 countries into maturity regimes and classify and predict cluster membership accuracy based on digital-health maturity dimensions determining the system’s perception and interoperability, coordination, and workforce–regulatory reliability readiness. These country-l

Hannah Riley Bowles Appointment Co-Director, Women and Public Policy Program Roy E. Larsen Senior Lecturer in Public Policy and Management Mailing Address 1 Harvard Kennedy School Mailing Address 2 79 ...

Assessing learning in virtual reality (VR) environments typically relied on traditional pre-post content retention tests, revealing little about the process of learnng within such immersive environments. Multimodal data from player activity in VR is promising to better measure learning processes and higher-order skills, but little research in the learning sciences has explored how such data can be combined to provide meaningful measures. To address this, we explored multimodal sources of data fr

Recent robot foundation models operate with single-step or short-history visuomotor context. We introduce Test-Time-Training Robot Policies (RoboTTT), a robot model and training recipe that scale visuomotor context to 8K timesteps, three orders of magnitude beyond state-of-the-art policies, without growing inference latency. At this context length, we unlock new robot capabilities: one-shot in-context imitation from human video demonstrations, on-the-fly policy improvement, robustness to perturb

Security-agent evaluations commonly measure peak offensive capability under generous inference budgets, emphasizing vulnerability discovery, exploit development, penetration testing, and CTF completion. Such measurements are useful but incomplete: in operational security, every reasoning step, tool call, telemetry query, and enrichment request consumes budget. We evaluate language-model security agents through this cost-success lens on offensive Cybench challenges and defensive Splunk BOTS v1 in

Recent advances in Tool-Integrated Large Language Models have made web search a core capability of information-seeking agents. However, as interaction histories grow, agents increasingly struggle to track task progress. When search attempts fail to yield useful evidence, current single- and multi-agent systems can become trapped in repetitive loops, wasting search budgets and ultimately compromising the quality and completeness of the final output. We introduce SearchOS, a system-level multi-age

A tokenizer fixed at the start of pre-training allocates vocabulary in proportion to the pre-training corpus, reflecting the deployment priorities at that time. When those priorities shift, languages added later are split into many more tokens per word, which can raise latency, compute, and energy consumption for users of those languages. Cloud models can afford a broad vocabulary because the embedding and LM-head matrices are a small fraction of their parameters. On a compact model those matric

How different populations visually explore artworks bears on cognitive science and on accessibility design, yet most eye-tracking work in autism has used social scenes rather than art, and has analysed where the eyes land while ignoring when and in what order. We present a comparative free-viewing study across three groups, autistic adults (ASD), trained artists, and neurotypical observers, who each viewed 30 paintings for 15s. We introduce a directed, metric-grounded framework that compares gro

Large language models (LLMs) increasingly serve as high-level planners for embodied agents, where linguistically benign instructions can become unsafe once grounded in the physical world. We study whether this physically grounded danger is the same safety problem as ordinary text-level content danger. Through hidden-state direction analysis and random-split null tests, we show that content danger (CD) and physical danger (PD) form separable signals in LLM representations across Qwen2.5-3B/7B/14B

Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misaligned image-text pairs. Our work focuses on a class of captioning errors that we refer to as systematic misalignments, where a recurring error in MLLM-generated captions is closely associated with the presence of a specific visual feature in the paired image. Given a vision-language dataset with MLLM-generated captions, our aim in this work is to detect such errors, a task we refer t

A risky plan to turn night into day is one step closer to reality. Last week, US officials approved a mission to launch a giant mirror into space, where the device will reflect sunlight onto shadowed ...

Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datasets, labels are often assigned without structured evidence, symptom-level justification, or traceable alignment with the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR), limiting both transparency and downstream model interpretability. We propose a self-evolving, ex

Reinforcement learning has proven effective for improving reasoning in large language models, but extending it to Masked Diffusion Language Models (MDLMs) remains challenging due to the intractability of the log-likelihood estimation. Existing approaches approximate this log-likelihood by modeling only the token predictions, ignoring the order in which positions are unmasked during generation. We observe that MDLM generation involves two decisions at each step: what tokens to place at each maske

Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause autonomous agents to drift from user intent. Recent vision-based multimodal agents improve flexibility by operating directly over screenshots and natural language instructions, but planning and adaptation often remain internal, limiting users' ability to inspect, supervise, or correct system behavior. We present Plover, a pla

AI benchmarks increasingly leverage item-level statistical models, particularly item response theory (IRT), to estimate model capabilities, rank systems, select informative examples, and diagnose benchmark quality. However, AI benchmark data often departs from the data regime of human testing, for which standard IRT estimation tools were originally developed: benchmarks typically involve fewer evaluated models, far more items, and capability distributions that may be skewed, clustered, or multim

Artificial intelligence is transforming scientific research -- not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself. This transition constitutes, in the most precise sense of the term, the industrialization of research: a shift from a craft model, in which knowledge, method, and judgment are embedded in the researcher, to a pipeline model, in which these steps are decomposed, automated, and supervised. The US Department of Energy's Genesis Missi

Humanoid control requires natural whole-body coordination, precise real-time responses to control signals, and robust generalization across diverse environmental contexts, making it a cornerstone for generalist embodied agents. Behavior Foundation Models (BFMs) have recently emerged as a promising solution to address these challenges by leveraging large-scale behavioral data to achieve superior expressiveness, versatility and generalization. However, despite growing interest in scaling BFMs to f

AI coding agents set up projects by reading documentation and installing the dependencies it lists, without verifying their names, sources, or known vulnerabilities. By editing only a README, requirements file, or Makefile, an attacker can redirect the agent to an untrusted registry, a known-vulnerable version, or a wrong-but-plausible name: documentation becomes a vector for code execution. We present the first systematic evaluation of package-install-time supply-chain attacks delivered through

World models are usually evaluated as components of model-based reinforcement learning (MBRL) systems, while the world models themselves are rarely studied in isolation. We examine five representative visual world-model agents in Atari Pong: DreamerV3, DIAMOND, TWISTER, Simulus, and STORM. After reproducing their training pipelines and matching the reported agent performance, we freeze the learned world models and evaluate them with a closed-loop rollout diagnostic: a policy trained separately f

Dynamic object exchange between humans and robots remains a challenging problem due to uncertainty in perception, timing, and contact-rich interaction. Human-robot juggling represents a particularly demanding instance of this problem, requiring precise real-time coordination, predictive motion planning with feedback control, and robustness to variability in human motion. Enabling such skills is of interest for advancing physical human-robot interaction and shared autonomy. We present a real-time

Recent FPGAs have improved deep learning (DL) inference efficiency through dedicated tensor blocks and in-BRAM computation. ReRAM-based analog in-memory computing (IMC) pushes efficiency further, offering an order-of-magnitude improvement in compute density and energy efficiency over conventional digital logic by performing vector-matrix multiplication (VMM) directly within the ReRAM crossbar; prior work has integrated such IMC blocks into FPGAs for DL inference. However, conventional IMC design

Understanding the brain increasingly depends on integrating evidence across scales, modalities, and disciplines. Addressing a single research question therefore requires a coordinated sequence of operations, from surveying prior work to executing analyses and interpreting results in light of domain knowledge. AI agents promise to accelerate this process, but current agents lack domain expertise in brain science, may fabricate claims, drift during multi-step reasoning, and offer few defined point

Mild Cognitive Impairment is a critical early stage of cognitive decline that frequently precedes Alzheimer's disease, yet its automated detection from neuropsychological drawing tests remains fundamentally constrained by data scarcity, class imbalance, and diagnostic ambiguity near clinical boundaries. Existing methodologies attempt to bypass these constraints using computationally expensive, fully fine-tuned hybrid architectures that relegate spatial explainability to a post-hoc approximation

The deployment of autonomous cyber-physical systems in safety-critical environments requires closed-loop control strategies (i.e., policies) that are not only performant but also provably safe and robust. While learning-based methodologies such as Reinforcement Learning offer flexible and scalable approaches to automatically synthesize such controllers, they typically lack the formal guarantees necessary for safe deployment. To bridge this gap, we propose a novel simulation-based methodology to

Lattice quantum chromodynamics (LQCD) provides a first-principles framework for computing hadronic observables, but its practical use remains limited by the substantial expertise required to turn research motivation into reliable computing workflows. Here we present \textsc{LQCDMaster}, a tool-augmented, skill-guided and domain-specialized scientific computing agent that converts natural-language LQCD research tasks into executable PyQUDA computing workflows, including measurement scripts, job-s

Large language models are increasingly evolving from text generators into general agents capable of understanding user requests, invoking external tools, and completing complex tasks through interaction. However, existing agent benchmarks often focus on limited scenarios, tool ecosystems, or interaction formats, making it difficult to systematically characterize model capabilities across heterogeneous application settings. We introduce OmniaBench, a benchmark for evaluating general agents across

Automated optimisation is increasingly adopted in industrial processes, yet a trust gap persists between engineers who design these algorithms and operators who must act on their recommendations. Explainable AI methods like SHAP (SHapley Additive exPlanations) have transformed interpretability for machine learning predictions; optimisation outputs could benefit from similar techniques. We present an approach that integrates Implicit Function Theorem (IFT) based sensitivity analysis with SHAP att

Most existing approaches to AI-Generated Text Detection (AIGTD) treat documents as static objects and base their decisions on aggregate statistics or globally compressed embeddings. However, this perspective overlooks the inherently dynamic nature of autoregressive generation, where content evolves progressively through the latent space. In this paper, we reformulate AIGTD as the problem of distinguishing between latent generation trajectories. Instead of relying on static representations, we mo

World Action Models (WAMs) enable semantically- and physically-informed control but are brittle under distribution shift. In this work, we use mechanistic interpretability to study how robustness-relevant perturbations are represented in WAM activation space. Comparing activations across successful and unsuccessful rollouts, we find some WAM architectures exhibit low-dimensional linear separability for robustness-critical features, while others do not. This motivates the use of contrastive activ

We investigate how to support authoring narrative visualizations in motion in sports videos, drawing on automated data preparation, systematic analysis, technology probe design, and evaluation, using swimming races as a case study. Sports videos are widely broadcast and shared across social media, where content creators increasingly seek to present and explain complex events to general audiences. Visualization in motion has been explored as an efficient way to embed data into videos and to move

Autonomous coding agents increasingly execute multi-step software work, but lifecycle states such as reviewed, tested, DONE, and ready-to-merge remain claims unless supported by current evidence. We present Proof-or-Stop Lifecycle Control, a method that permits lifecycle transitions only when fresh, tracked-source-state-bound, mechanically verifiable evidence satisfies the relevant gate. The method treats agent outputs as claims rather than lifecycle state, and uses proof operationally to mean g

Surface electromyogram (sEMG) signals are widely used in human-machine interfaces for gesture recognition and user identification, but existing models often struggle to generalize across individuals due to subject-specific neuromuscular characteristics. This study introduces a disentanglement model that separates task-specific and subject-specific components from sEMG signals, thereby improving the generalization and interpretability of gesture recognition and user identification systems. Experi

Recent findings suggest that detection models for artificial intelligence (AI) cannot accurately identify AI-generated text and may exhibit bias against certain minority groups. In the present study, anecdotal claims that autistic writers more often have their work flagged as AI-generated are examined empirically. A corpus of approximately 60,000 Reddit posts split into "likely-autistic" and "general-Reddit" subcorpora is used to compare the distribution of probabilities output by the OpenAI GPT

Graph neural networks (GNNs) frequently encounter group fairness issues, often yielding biased predictions against specific demographic groups defined by sensitive attributes such as gender or race. While this challenge has motivated extensive research, most existing solutions rely on the strong assumption that demographics are fully available. To bypass this strict requirement, a few recent studies have attempted to use predicted demographics as proxies to enforce fairness constraints. However,

Evaluations (Evals) are a deployment bottleneck for real-world AI applications: public benchmarks rarely match a team's users, context, or policies, and human review is often tedious to scale. Motivated by our work with AI applications in the public sector, this project addresses recurring evaluation challenges encountered when applications must satisfy local policy and governance requirements. We present Kaleidoscope, an integrated workflow for contextual functional evaluation that links person

As conversational AI systems are designed for repeated use, a central question is how a series of interactions becomes a relationship. We present a longitudinal multimodal study of a memory-augmented conversational agent (24 participants x 10 sessions), in which participants rated five relational constructs -- familiarity, self-disclosure, perceived memory, conversational quality, and enjoyment -- after each session. Two complementary dynamics emerge. First, conversational quality strongly shape

The CyberSG R&D Programme Office (CRPO) is pleased to present CyberSG Connect: AI, Trust and Cyber Resilience, a two-day flagship dialogue workshop that brings together internationally renowned ...