Archive · 2026-08-14

AI ethics on Friday, 14 August 2026

199 items published this day, across 4 categories.

News (146)

The New York Times

An A.I. Bot is Judging Your Résumé — open the original publisher

Raise your hand if you’ve been personally victimized by an A.I. job recruiter. Finding a job has become more difficult in part because many corporations are now using bots to evaluate résumés. The Opinion writer Jessica Grose explains why job hunting has become about gaming A.I. recruiters, and why the solution might just be going analog.

Jobs & economy
The Guardian

A Queensland man enjoyed soaring profits from a crypto trading app. Then his money started disappearing — open the original publisher

The administrative work required to run an effective investment scam has been drastically cut by using merging technology Get our breaking news email , free app or daily news podcast Within days of clicking on an online ad for a cryptocurrency trading app, a 29-year-old Queensland man watched his dashboard soar with profits. Making investment gains was as simple as downloading the slick-looking app and browser extension linked to his crypto wallet. So he invested more. Continue reading...

Finance, VC & PE
TechCrunch

Does Mark Zuckerberg really believe AI is ‘for everyone’? — open the original publisher

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]

Bias & fairness
TechCrunch

Meta’s ‘open’ AI, and a $250M deal gone very wrong — open the original publisher

Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]

Bias & fairness
Above the Law (legal tech)

Trump DOJ Uses Luigi Mangione Case To Spite Manhattan DA — See Also — open the original publisher

Double Jeopardy Mushroom : The DOJ works out interstate stalking plea deal with Luigi Mangione so his lawyers can claim New York murder charges amount to double jeopardy . Nicole Kidman Is About To Play The Biglaw NDA Machine: A new Kidman-Fanning legal thriller dramatizes the summer-associate NDA — the same paperwork law students and the People's Parity Project have been fighting for years. 'Psst. Hey AI, Rule In My Favor, Don't Tell The Judge. Thx, Bye' : Litigant tries to prompt inject the co

RegulationChildren & education
The Hill Technology

Senate panel investigates kids safety issues in online game Roblox — open the original publisher

A bipartisan pair of senators launched an investigation this week into the gaming platform Roblox, citing concerns about explicit content and its alleged "connection to real world child abuse." Sens. Josh Hawley (R-Mo.) and Dick Durbin (D-Ill.) sent a letter Wednesday informing Roblox CEO David Baszucki that the Senate Judiciary Subcommittee on Crime and Counterterrorism...

Children & educationFinance, VC & PE
Above the Law (legal tech)

Dark Social For Lawyers: How To Track What You Can’t See — open the original publisher

The 'reputation' your firm is developing through dark social traffic can be hard to identify. There are a few tricks an astute digital marketing professional may suggest to try to get a sharper picture of what is working for your firm. The post Dark Social For Lawyers: How To Track What You Can’t See appeared first on Above the Law .

Regulation
The Next Web AI

Pipeline for $165 Billion Oracle Data Center Delayed to Next Year — open the original publisher

The Green Chile pipeline that would fuel Oracle’s Project Jupiter data centre in New Mexico has been pushed from 15 August to 1 February 2027, according to a filing by Energy Transfer’s Transwestern unit. The state land commissioner has twice refused the route, citing water use and emissions. The pipeline that would fuel Oracle’s largest […] This story continues at The Next Web

Environment
FedScoop

GSA acquisition product pricing data flawed, may cause agencies to overpay, watchdog says — open the original publisher

In an audit, the GSA’s Office of the Inspector General said the Federal Acquisition Service’s product catalog and data reporting system had varying names and part numbers for the same item. The post GSA acquisition product pricing data flawed, may cause agencies to overpay, watchdog says appeared first on FedScoop .

Transparency
The 74 (education AI)

SC Students Improve in Math and Reading, but Less Than Half Meet Math Benchmarks — open the original publisher

COLUMBIA, S.C. — Elementary and middle school students posted their best scores yet on end-of-year standardized tests, though more than half still can’t calculate as expected for their age, according to state testing data released Monday. Third- through eighth graders continued to improve in both math and reading, though scores were still generally stronger in […]

Children & education
The Hill Technology

Trump administration unveils tariffs on drone imports — open the original publisher

President Trump on Thursday announced new tariffs on drone imports in an effort to curb U.S. reliance on foreign supply chains amid possible national security threats. Under a proclamation signed by Trump, larger drones with certain sensitive capabilities, including thermal imaging, are subject to a 100 percent tariff, along with other critical parts. Smaller drones...

Military & security
The Hill Technology

EPA sued for approving semiconductor chemicals that may pose health risks — open the original publisher

Environmental and community groups sued the Trump administration on Friday over its approval of two chemicals for use in semiconductors despite posing health risks. The Environmental Protection Agency (EPA) recently approved the two unnamed chemicals for use in the semiconductor industry even though it also found potential risks to workers and the general public. The...

HealthcareEnvironment
The Next Web AI

Zoox has shown its safety workings, three weeks after recalling every robotaxi it owns — open the original publisher

Zoox has published the reasoning behind its claim to be safer than human drivers. Everything reduces to one number, the predicted rate of collision, injury and fatality events, expressed as miles per event. Risk from driving software, from the vehicle itself and from fleet operations is added together into that single estimate. It functions as […] This story continues at The Next Web

Agents & autonomy
The Decoder

Alibaba's Qwen team releases Qwen 3.8 models with open weights under the Apache 2.0 license — open the original publisher

Alibaba's AI team Qwen has released new open model weights under the Apache 2.0 license with Qwen 3.8. The dense 27-billion-parameter model is designed to outperform the larger Qwen 3.7 Plus in coding and office tasks and natively processes up to 262,000 tokens of context. With this release, Qwen is targeting developers building local and agent-based applications. The article Alibaba's Qwen team releases Qwen 3.8 models with open weights under the Apache 2.0 license appeared first on The Decoder

Agents & autonomy
The Next Web AI

ASU’s content creation degree grades your follower count — open the original publisher

The programme sits inside the Walter Cronkite School of Journalism and Mass Communication. The first cohort enrols this autumn. The Associated Press reported the launch and the backlash on 14 August. Kaitlyn Huamani, who covers social media and internet culture, wrote it. ASU declined an interview request about the new degree. The university’s own documents […] This story continues at The Next Web

Children & education
The Next Web AI

Joshua Kushner’s Thrive Capital Discloses $215 Million Amazon Stake — open the original publisher

Joshua Kushner’s Thrive Capital has bought roughly $215mn of Amazon shares, disclosed in a regulatory filing on Friday. It lands in the same week the firm told investors it is selling part of its OpenAI stake, in a company Amazon now owns close to 5% of. Joshua Kushner’s Thrive Capital has bought roughly $215mn of […] This story continues at The Next Web

RegulationFinance, VC & PE
The 74 (education AI)

Opinion: Head Start Was Built to Include Children With Disabilities. Don’t Weaken It — open the original publisher

The federal government last week proposed sweeping changes to Head Start, describing them as a way to expand access for children. For families of children with disabilities, the question is what support will still be there once a child enters the classroom. I’ve been around long enough to know that when it comes to meeting […]

Children & education
The Decoder

Study contradicts Anthropic and OpenAI claims that autonomous AI research is within reach — open the original publisher

AI agents using Claude Opus 4.8 and GPT-5.6 Sol were given six days, $3,000 in API credits, and GPU access to independently write AI research papers. The original authors of unpublished NeurIPS papers rated the results as "Reject." According to the study, conducted with Princeton and the UK AI Security Institute, frontier models can handle the full research engineering process but fall short on research judgment, creative problem-solving, and the ability to abandon failed approaches. The article

Agents & autonomy
Fast Company Tech

E-bike injuries in kids are surging in the U.S. These jurisdictions want parents to be held liable — open the original publisher

As traumatic injuries and deaths surge among children involved in crashes on e-bikes and other electrified vehicles , one California prosecutor is cracking down by pursuing criminal charges against some of the young riders’ parents. It is just one way officials across the country are trying to tackle the growing issue , while families navigate a patchwork of local laws and guidance on what kind of souped-up cycles and scooters are safe or even legal for their kids to ride. New York City’s mayor

Children & education
The Next Web AI

Canva’s backers cut $7.1bn from its valuation, and its own valuer cut more — open the original publisher

Emma Rapaport and Paul Smith reported the markdown for the Australian Financial Review on 14 August. The figure appears two ways and both are correct. It is $7.1bn in US dollars, and A$10bn, which is the number most headlines carried. The cut takes Blackbird and Airtree’s mark from $42bn to $34.9bn, a drop of 17%. […] This story continues at The Next Web

Finance, VC & PE
The Next Web AI

SpaceX has closed its $60bn Cursor deal, and Cursor was buying a company the day before — open the original publisher

SpaceX confirmed completion in a regulatory filing. Bloomberg’s Carmen Arroyo and Natasha Mascarenhas reported the close. The desk covered the binding agreement in June, when SpaceX filed an 8-K and said it expected to complete in the third quarter, subject to regulatory approval. That approval has now happened, on the schedule the filing set out. […] This story continues at The Next Web

Regulation
The Next Web AI

A judge just told Google to stop making rival app stores hard to install — open the original publisher

The hearing ran on 13 August in a San Francisco courtroom, The Verge reported first. It was a compliance check, not a new case. A jury decided unanimously nearly three years ago that Google held an illegal monopoly over Android apps. Donato set the remedy in October 2024. That remedy made Google carry rival Android […] This story continues at The Next Web

Regulation
Retraction Watch

Princeton student says she did not conduct the experiments described in her now-retracted paper — open the original publisher

Earlier this week, Retraction Watch reported on a Princeton student’s decision to retract her own paper from an engineering journal due to “significant methodological errors.” The student, Rishika Porandla, now tells us she never conducted the experiments described in the study. “The beam experiment described in the paper was a proposed experimental workflow with associated … Continue reading Princeton student says she did not conduct the experiments described in her now-retracted paper

Children & education
The 74 (education AI)

School Backpack Overload: Heavy Bags Can Strain Kids’ Bodies — open the original publisher

Backpacks can be fashionable and functional, but they can also be too heavy — weighed down by digital devices, musical instruments, sports equipment and more. Some kids carry home a laptop or tablet and textbooks, too. It’s good to be prepared, but kids who walk to school or participate in extracurricular activities may be lugging more […]

Children & education
Fast Company Tech

Why we love to hate Flock — open the original publisher

The surveillance state has crept up around us, but in at least one instance, its integration into society has prompted a backlash. Flock Safety has managed to make automated license plate readers (ALPRs), cameras that record the license plate and other characteristics of every vehicle that passes them, a hot-button issue across the United States. More than 50 agencies or jurisdictions have canceled, suspended, or rejected Flock contracts, or deactivated its cameras, since the start of 2026. The

Privacy
Music Business Worldwide (AI)

Bill Ackman, who called Universal Music ‘one of the best businesses we have ever owned’, steers clear of music in Pershing Square stock-buying splurge — open the original publisher

Bill Ackman‘s Pershing Square has disclosed six new stock investments in its first quarterly shareholder letter as a publicly listed company. None of the six is a music company. The new positions in Visa, Mastercard, Netflix, S&P Global, Intercontinental Exchange, and Alcon were disclosed in a letter published on Wednesday (August 12). Pershing Square Inc. … Continued Source

RegulationFinance, VC & PE
Above the Law (legal tech)

Morning Docket: 08.14.26 — open the original publisher

* Judge threatens DOJ with contempt in Epstein files coverup case. [ All Rise News ] * Holland & Knight brings in former partner to defend against $1.2B malpractice case. [ Bloomberg Law News ] * Litigant hides prompt injection in court filing asking the court's AI to rule favorably. Sure it's an attempt to deceive the court but... if they aren't turning over decision making to bots then it shouldn't matter, right? [ 404 Media ] * Luigi reportedly considering plea deal. [ Reuters ] * Trump sued

Regulation
The 74 (education AI)

In an Uncertain Job Market, Top Economists Offer Advice for Incoming NC College Students — open the original publisher

It’s move-in week for college students across North Carolina. And once students have gotten settled into their dorms, their attention will turn to getting the classes needed to fulfill their chosen major. But which career paths are a safe bet in 2026? U.S. employers cut 23,000 jobs in July. Job creation for May and June […]

Jobs & economyChildren & education
SCMP Tech (HK/CN)

Launch of DeepSeek’s Harness marks its strategic pivot towards autonomous agentic AI — open the original publisher

Chinese artificial intelligence company DeepSeek is venturing into a new battleground beyond large language models, launching a developer preview of its long-anticipated Harness – a software framework that helps developers turn AI models into autonomous agents. The release on Thursday marks a strategic pivot as DeepSeek moves to build foundational digital scaffolding for AI agents – systems capable of using AI models to operate external software, run code, and complete complex jobs on their...

Jobs & economyAgents & autonomy
SCMP Tech (HK/CN)

Zhipu launches flagship model GLM-5.3 as China seeks Mythos-level edge in cyber defence — open the original publisher

Chinese artificial intelligence firm Zhipu, also known as Z.ai, has unveiled its flagship GLM-5.3 model, saying it beat Anthropic’s frontier Mythos 5 model in a key cybersecurity test, as China races to counter Western advances in AI defence. Beijing-based Zhipu said GLM-5.3 achieved a success rate of 84.5 per cent on CyberGym, a benchmark that measures whether models can identify and validate security flaws from source code. That was above Anthropic’s Mythos at 83.8 per cent and OpenAI’s...

Military & security
InfoQ AI/ML

Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering — open the original publisher

Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical context engineering fixes, including lazy-loaded skills, versioned context artifacts, externalized memory banks, and LLM-as-a-judge evals. Software architects & engineering leaders will learn how to turn raw markdown files into reliable agentic workflows. By Patrick Debois, Baruch Sadogursky

Agents & autonomy
The 74 (education AI)

Opinion: The Science of Reading and Teaching English Learners to Read Are Not Incompatible — open the original publisher

For all the noise and attention and — laudable — political energy behind it, the science of reading is not a thing. Or, rather, it is not a thing that schools can implement. The science of reading is a series of facts that, in combination, form a field consensus about how children best learn to […]

Children & educationEnvironment
Fast Company Tech

AI is revealing the hidden flaws in the labor market — open the original publisher

Some of the first credible evidence of artificial intelligence ’s impact on the labor market has just been published and, at first glance, it appears to tell a concerning story for women. Researchers at Stanford University’s Digital Economy Lab, analyzing payroll data from millions of American workers, found that employment growth has been weakest among early-career professionals in occupations with the greatest exposure to AI. Among those workers, young women are experiencing slower employment

Jobs & economy
SCMP Tech (HK/CN)

China’s richest province taps Alibaba to power its AI and chip push — open the original publisher

China’s richest province has deepened its partnership with technology giant Alibaba Group Holding, eyeing a broad digital upgrade spanning artificial intelligence, semiconductors, and smart public services. Under a strategic cooperation framework agreement signed on Thursday in Guangzhou, capital of Guangdong province in southern China, the Hangzhou-based firm planned to increase its investments in computing power, AI models and digital services, according to a report by local state media...

Finance, VC & PE
Fast Company Tech

At Black Hat, AI is helping security pros find threats—and creating new ones — open the original publisher

You might think that the information-security professionals who show up in August at the annual Black Hat conference in Las Vegas would know to bring their A game to that gathering. But every year, the administrators of the show’s Network Operations Center (NOC) see a different, messier reality play out over the conference Wi-Fi. And at last week’s Black Hat , AI played an even larger part in that drama—as a tool and a threat . Agentic triage AI has delivered the biggest overall boost to NOC sta

Agents & autonomy
SCMP Tech (HK/CN)

SMIC eyes expansion amid AI boom, Zhu Rongji dies, Shein nears IPO — open the original publisher

SMIC, China’s biggest contract chipmaker, is planning to boost capacity after beating earnings expectations amid the artificial intelligence (AI) boom. Demand is “far exceeding our previous expectations”, so the company is adjusting expansion plans and may add more equipment at existing sites, chief executive officer Zhao Haijun said on an earnings call on Friday. He didn’t provide details. The chipmaker’s shares gained 4.8 per cent in Hong Kong trading after it more than tripled second-quarter.

Finance, VC & PE
MediaNama (IN)

‘Personality rights is acquiring amoebic proportions,’ says Delhi HC in Aaradhya Bachchan case — open the original publisher

Delhi HC questions the expanding scope of personality rights while hearing Aaradhya Bachchan’s case over false health claims and allegedly defamatory online content. The post ‘Personality rights is acquiring amoebic proportions,’ says Delhi HC in Aaradhya Bachchan case appeared first on MEDIANAMA .

Healthcare
War on the Rocks

Cheap Drones, Dry Taps: The Iran War Opens a New Era of Water Infrastructure Risk — open the original publisher

Water and energy infrastructure have become one of Iran’s main levers of deterrence against the United States. Iranian Foreign Minister Aragchi recently made it clear to Gulf states that if the U.S. military renewed large-scale strikes on Iran, their critical infrastructure would be struck. Iranian forces’ operational history over the past six months confirmed the threat’s credibility.Kuwait first reported damage near a desalination plant early in Operation Epic Fury, when debris from an interce

Military & securityEnvironment
SCMP Tech (HK/CN)

Rich Chinese embrace domestic high-end EVs as tech and driving experience eclipse prestige — open the original publisher

For Eric Huang, a Guangdong-based healthcare entrepreneur who owns a Lamborghini Aventador and a Tesla Model S Plaid, the appeal of Chinese premium electric vehicles (EVs) has grown as their technology has caught up with his expectations. “I hold electric cars to strict safety standards, so I used to stick to Tesla,” Huang said. But he added that domestic brands had now met his standards. His next purchase, he said, would be a six-seat premium electric minivan equivalent from a Chinese brand,...

Healthcare
TechNode (CN)

Against Claude Cowork, DeepSeek opens its open-source Harness to developers — open the original publisher

DeepSeek has opened a developer preview of DeepSeek Harness, an open-source agent harness positioned against Anthropic’s Claude Cowork. The project provides a web interface for running AI agents and uses a plugin-based structure for adding capabilities. The project, also known as dsh, is powered by DeepSeek’s Cordis architecture and can be launched with npx @deepseek-ai/dsh […]

Agents & autonomy
TechNode (CN)

HongShan invests in ZXMOTO as Chinese motorcycle maker targets global racing — open the original publisher

HongShan, the China-focused venture capital firm formerly known in English as Sequoia China, has invested in ZXMOTO, the Chongqing-based motorcycle maker founded by Zhang Xue. The two sides will work together to develop world-class products and compete on international racing circuits. ZXMOTO focuses on high-performance motorcycles and entered the World Supersport class of the FIM […]

Finance, VC & PE
InfoQ AI/ML

Meta Open-Sources Muse Glimmer: A 30B Local Agentic Model Optimised for On-Device Execution — open the original publisher

Meta AI Research has introduced Muse Glimmer, a 30-billion-parameter open-weight model under the Apache 2.0 license, designed for local workflows. It enables autonomous agents and complex task execution on consumer GPUs without relying on cloud APIs. The model employs a multi-stage training approach for efficient performance and supports multimodal inputs, enhancing coding and automation tasks. By Olimpiu Pop

Jobs & economyAgents & autonomy
SCMP Tech (HK/CN)

Chinese doctor stuns maths world by cracking decades-old problem using ChatGPT — open the original publisher

When Beijing-based neurosurgeon Jin Shanmu pulled up a chair at his computer, he was not looking to make mathematical history. He was simply trying to crack a problem related to brain ultrasounds. Instead, the self-taught maths enthusiast, with help from OpenAI’s latest flagship artificial intelligence (AI) model, solved a two-decade-old mathematical puzzle that had frustrated experts around the world since 2004. Jin, a postdoctoral researcher and resident at the Peking Union Medical College...

Healthcare

Field notes (5)

Inforrm (media law)

IPSO ties itself in knots over Telegraph complaint – Nathan Sparkes — open the original publisher

Media lawyer and author Jonathan Coad recently complained to IPSO about a Telegraph article entitled “Hacked Off Hugh Grant pushes Andy Burnham to curb free speech”. Telegraph readers were told that Hacked Off “has demanded state regulation of Fleet Street” for 15 years and suggested that Hugh Grant might be “on the cusp of a […]

Regulation
Krebs on Security

Who’s Tracking You? Use This New Service to Find Out — open the original publisher

It can be daunting to determine who's responsible for showing ads on the websites we visit, or who's harvesting data from the mobile apps we use every day. That information is already semi-public, but it is not easily parsed and traditionally much of it has remained walled away in the hands of large advertising platforms. Not anymore: A powerful and free new service called DecryptAds scrapes and correlates this adtech data and makes it simple to quickly learn a great deal about the entities that

Privacy
Pluralistic (Cory Doctorow)

Pluralistic: Capital formation (14 Aug 2026) — open the original publisher

Today's links Capital formation: Going legit means going mainstream. Hey look at this: Delights to delectate. Object permanence: London Copyfighters x Speaker's Corner; TSA v lipstick; Long Beach v photographers; China x David Cameron's internet censorship; McMansion Hell; Copyrighting an MTG deck; "Privacy preserving age verification" delenda est. Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend. Recent appearances: Where I've been. Latest books: You keep readin'

Privacy

Policy (6)

US Federal Register

Unified Agenda of Federal Regulatory and Deregulatory Actions-2026 — open the original publisher

Executive Order 12866, Regulatory Planning and Review (Sep. 30, 1993), requires each agency to publish a regulatory agenda (Agenda) of regulations under development or review during the next year which will be included in the Unified Agenda of Regulatory and Deregulatory Actions (Unified Agenda). 58 FR 51735 (Oct. 4, 1993). The Agenda required by Executive Order 12866 must include all regulations the agency expects to develop or review during the next 12 months, regardless of whether they may ha

Regulation
US Federal Register

Introduction to the Unified Agenda of Federal Regulatory and Deregulatory Actions-2026 — open the original publisher

Publication of the 2026 Unified Agenda of Federal Regulatory and Deregulatory Actions represents a key component of the regulatory planning mechanism prescribed in Executive Order ("E.O.") 12866, "Regulatory Planning and Review," (58 FR 51735, as amended) and reaffirmed in E.O. 13563, "Improving Regulation and Regulatory Review," (76 FR 3821) and E.O. 14192, "Unleashing Prosperity Through Deregulation." The Regulatory Flexibility Act requires that agencies publish semiannual regulatory agendas i

Regulation
US Federal Register

FCC To Review E-Rate Program To Ensure Congress's Vision — open the original publisher

In this document, the Federal Communications Commission (Commission) seeks comment on measures the Commission can take to better protect children when using E-Rate-funded networks, the Commission's progress in ensuring affordable access to high-speed broadband to and within schools and libraries, and whether the Commission's current interpretation of the Children's Internet Protection Act (CIPA) is the best reading of the statute. The Commission also proposes actions to strengthen E-Rate program

Children & education

Research (42)

JMIR (Journal of Medical Internet Research)

Health System- and Payer-Level Decision-Making Processes Influencing the Adoption and Sustainability of Patient-Facing Digital Health Tools: Qualitative Study — open the original publisher

Background: Patient-facing digital health tools such as mobile health apps, wearables, and digital therapeutics have expanded rapidly and show promise for improving chronic disease management. Despite increasing evidence of effectiveness, health systems and payers continue to face challenges integrating these tools into routine care. Objective: This study examined the decision-making processes of health system and payer leaders regarding the adoption and sustainability of patient-facing digital

Healthcare
JMIR (Journal of Medical Internet Research)

Predicting Critical Outcomes in Suspected Cardiopulmonary Emergencies Using Dispatch Narratives: Temporal Validation Study — open the original publisher

Background: Early risk stratification in emergency medical services (EMS) is essential for patients presenting with acute cardiopulmonary symptoms, yet prehospital decision-making at the dispatch stage is often based on limited structured information. Free-text dispatch narratives may contain additional clinical signals, but their role in early risk assessment remains insufficiently characterized. Objective: This study aims to develop and temporally validate a natural language processing–assiste

Healthcare
JMIR (Journal of Medical Internet Research)

Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach — open the original publisher

Background: The exponential expansion of biomedical literature has created an urgent need for efficient methods to recognize and extract population, intervention, comparison, and outcome (PICO) elements—the foundational elements of evidence-based medicine. Objective: This study systematically evaluated 2 complementary approaches for automating PICO recognition and extraction in medical literature: prompt engineering optimization and parameter-efficient fine-tuning (PEFT) of large language models

Healthcare
JMIR (Journal of Medical Internet Research)

An mHealth Intervention Promoting Physical Activity to Reduce Psychological Distress Among Workers: Randomized Controlled Trial — open the original publisher

Background: Although mobile health (mHealth) interventions serve as potential solutions for addressing mental health problems, evidence on whether mHealth interventions targeting physical activity can reduce psychological distress among generally healthy workers is limited. Objective: This study aimed to investigate the effectiveness of a stand-alone smartphone app, which passively monitors physical activity and psychological distress, in reducing psychological distress among workers. Methods: T

HealthcareFinance, VC & PE
JMIR (Journal of Medical Internet Research)

Radiomics-Based AI for Predicting Neoadjuvant Immunochemotherapy Pathological Response in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis — open the original publisher

Background: Non–small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide. Accurate early prediction of response to neoadjuvant therapy is critical. Objective: We aimed to evaluate the diagnostic performance of radiomics-based AI in predicting pathological complete response (pCR) and major pathological response (MPR) following neoadjuvant immunochemotherapy in NSCLC and to compare it against traditional radiological criteria. Methods: A systematic search of P

Healthcare
arXiv cs.CY

The AI Accountability Ecosystem in the Era of Language Models — open the original publisher

arXiv:2608.12320v1 Announce Type: new Abstract: This article reviews and updates the framework for accountability in AI based on account- ability ecosystems. We update the framework in light of the latest developments since the release of Large Language Models for general public use. We propose three interlinked updates to the original AI accountability ecosystem: (i) reorienting the accountability ecosystem to AI infrastructure and supply chains, (ii) providing greater emphasis on outcomes moni

Transparency
arXiv cs.CY

From Caveman to Expert Analyst: Energy Consumption of Variable LLM Tasks — open the original publisher

arXiv:2608.12350v1 Announce Type: new Abstract: The energy demand growth and environmental impacts of artificial intelligence (AI) have generated substantial interest in supplying sufficient low-cost electricity for AI-driven data center development. Research on the ability of demand-side management to address these challenges has been more limited. Shifting the amount or timing of demand from retail, corporate, and other organizational behaviors is a plausible option but only if changes in dema

Environment
arXiv cs.CY

Assessment Design in the GenAI Era: The X1-X2-X3 Assessment Pattern for Testing Students' AI Literacy, Learning Outcomes, and Reflection — open the original publisher

arXiv:2608.12351v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) has challenged the validity of unsupervised online assessment, especially in technical subjects where plausible answers can be produced with little effort. This paper reports lessons from designing and implementing an AI-aware, AI-testing assessment in a large second-year undergraduate database systems module. The design combined two linked elements: (1) a structured three-part response format (X1-X2-X3) i

Children & education
arXiv cs.CY

Why AI Governance Frameworks Are Hard to Adopt: A Role-Based Stress Test of the NIST AI RMF — open the original publisher

arXiv:2608.12352v1 Announce Type: new Abstract: AI governance frameworks can be known, used, and implemented in form without becoming governance in practice. This paper examines that problem through a role-based stress test of the NIST Artificial Intelligence Risk Management Framework (AI RMF) in consumer lending. We treat framework adoption as a governance translation problem: whether RMF language can become role-usable, cross-level, authority-connected governance over the AI system-in-use, rat

Regulation
arXiv cs.CY

Measuring Curriculum-Labor Market Alignment at the Scale of a Program Portfolio — open the original publisher

arXiv:2608.12356v1 Announce Type: new Abstract: A college offering several overlapping computing degrees implicitly assumes that its programs are differentiated in line with how the labor market segments computing work and that, together, they prepare graduates for that market. Testing this is difficult, because the instruments available to curriculum committees, namely advisory boards, tracer studies, and employer surveys, are slow, narrow, and hard to reproduce. We apply one uniform, taxonomy-

Safety & alignmentJobs & economy
arXiv cs.CY

Can We Trust AI Agents in the Supermarket? Sugar Content Inference from Product Images — open the original publisher

arXiv:2608.12359v1 Announce Type: new Abstract: Nutritional labels are legally permitted to appear in very small print, reducing real-world readability and encouraging consumers to rely on 'AI nutrition lens' and vision-capable conversational agents for dietary guidance. We evaluate whether such AI-mediated advice can meaningfully substitute for regulated labeling using a bounded, verifiable task: inferring which of two packaged foods contains less sugar from front-of-pack images alone. A Two-Al

RegulationAgents & autonomy
arXiv cs.CY

Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices — open the original publisher

arXiv:2608.12360v1 Announce Type: new Abstract: Background: AI/ML-enabled medical devices are increasingly deployed in healthcare under evolving regulatory frameworks. As these systems become more integrated into clinical decision-making, there is growing expectation that they demonstrate key dimensions of trustworthy AI to support clinician, patient, and public trust. Whether publicly available regulatory documentation provides sufficient evidence to independently assess the trustworthiness of

RegulationHealthcare
arXiv cs.CY

Strategy-Oriented Feedback for Fostering Systematic Problem-Solving in Machine Learning Education — open the original publisher

arXiv:2608.12362v1 Announce Type: new Abstract: Enabling students to develop systematic problem-solving strategies is a central goal in computing education and of particular relevance in the emerging field of machine learning (ML) education. While exploratory approaches are common in ML learning tasks, fostering the development and persistence of structured problem-solving strategies remains challenging, as these demand considerable metacognitive regulation and persistence, causing learners to o

RegulationChildren & education
arXiv cs.CY

From Fair Representation to Just Recognition in Generative AI — open the original publisher

arXiv:2608.12669v1 Announce Type: new Abstract: The fair AI/ML literature has long distinguished distributive fairness, concerning how automated systems allocate resources and opportunities, from representational fairness, concerning how they shape the ways individuals and social groups are perceived, understood, and accorded social status. Generative AI is rebalancing these normative dimensions. Unlike predictive systems, large language models (LLMs) and related technologies are fundamentally e

Bias & fairness
arXiv cs.CY

A Generative Framework for the Creation of Multi-Attribute Geographically-Explicit Synthetic Population — open the original publisher

arXiv:2608.12768v1 Announce Type: new Abstract: Generating multi-attribute synthetic populations with realistic joint distributions and geographic variation is a foundational requirement for geo-simulation techniques, such as micro-simulation and agent-based modeling. However, it remains challenging for existing methods to reconstruct region-specific joint distributions from aggregated-level data alone. Thus, we propose a hierarchical diffusion-based generative framework that utilizes a realisti

Agents & autonomy
arXiv cs.CY

Impact of introducing "Informatics I" to the common university entrance examination in Japan: a longitudinal study on students' perceptions of their information-related knowledge and skills from 2006 to 2026 — open the original publisher

arXiv:2608.12924v1 Announce Type: new Abstract: Despite the recent intensive development of secondary education curricula and assessments in informatics, the impact of assessments has not been well studied in this field. Since informatics education covers a diverse range of content, from computer science knowledge to ICT skills, careful consideration is needed to prevent assessments from distorting education. This study investigates the impact of introducing ``Informatics I'' into the Common Tes

Children & educationFinance, VC & PE
arXiv cs.CY

Applied and Filtered: An End-to-End Algorithmic Fairness Audit of A Public Employment Agency — open the original publisher

arXiv:2608.13022v1 Announce Type: new Abstract: Algorithmic fairness evaluation commonly assesses AI systems as bounded technical components, abstracting away the organizational context in which they operate. We present, to our knowledge, the first independent end-to-end fairness audit of a semi-automated hiring system operated by Barcelona Activa, a public employment agency using the third-party TalentClue platform for candidate search and shortlisting. We analyze approximately 497,000 candidat

Bias & fairnessJobs & economy
arXiv cs.CY

The Use of Learning Management Systems for Self-paced Learning: The Case at a South African Public Access Centre — open the original publisher

arXiv:2608.13351v1 Announce Type: new Abstract: This study investigates the use of a Learning Management System (LMS) to support self-paced learning at a South African Public Access Centre (PAC), using the I-CAN Centre as a case study. Through semi-structured interviews with thirty-eight learners and thematic analysis, the research explores opportunities and challenges associated with LMS adoption. Findings reveal that PACs play a critical role in promoting ICT skills and digital inclusion, offe

Finance, VC & PE
arXiv cs.CY

Algorithmic Gender Prediction Is Illegitimate, But Gender Imputation Can Yield Valid Measurements — open the original publisher

arXiv:2608.13444v1 Announce Type: new Abstract: Machine learning ethics researchers and critical HCI scholars have argued that algorithmically predicting gender is wrong. At the same time, other researchers rely on predicted gender labels to study gender disparities and develop algorithmic fairness techniques. How do we reconcile these two seemingly contradictory intuitions? We differentiate two ways gender prediction may be wrong: being illegitimate, thereby contributing to harm; and being inva

Bias & fairness
arXiv cs.CY

Why Do AI Agents Break Rules? How Framing, Context, and Social Signals Shape Compliance — open the original publisher

arXiv:2608.12323v1 Announce Type: cross Abstract: Specifying a penalty can paradoxically convert a legal obligation into a cost-benefit calculation that favors violation. We demonstrate that this enforcement information paradox systematically occurs in AI agents. While most AI safety evaluations test whether models fail, we investigate why, applying compliance theory from law and economics as a diagnostic tool. We treat compliance theories not as metaphors but as empirical hypotheses and show th

RegulationSafety & alignment
arXiv cs.CY

Position: The Alignment Community is Unintentionally Building a Censor's Toolkit — open the original publisher

arXiv:2608.12346v1 Announce Type: cross Abstract: This position paper argues that modern AI alignment methods - originally designed to prevent harmful output - are dual-use technologies that may easily be misused by malicious actors for censorship and manipulation. By mapping current alignment techniques to the possibility and actual cases of misuse, we show that the quest for a "perfectly aligned" model inadvertently also provides malicious actors with an ever-improving tool for informational d

Safety & alignment
arXiv cs.CY

Visibility Asymmetry: How Vendor Attention Shapes Which EdTech Breakdowns Become Product-Visible — open the original publisher

arXiv:2608.12353v1 Announce Type: cross Abstract: Infrastructure scholarship in CSCW often treats breakdown as the moment when infrastructures become visible. However, in vendor-managed sociotechnical systems, not all breakdowns become visible to actors who have the capacity to repair them. Drawing on a retrospective qualitative study of a Chinese K-12 EdTech deployment, including 11 interviews, 5 classroom observations, and more than 28 days of field notes, this paper introduces visibility asym

Children & education
arXiv cs.CY

New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs — open the original publisher

arXiv:2608.12361v1 Announce Type: cross Abstract: Neologisms, emerging terms in meaning or form, can serve as new vehicles for toxic expression, like "country girl" as a stigmatizing label targeting feminism. Such toxic neologisms appear benign but have evolved into toxic usage in public consensus, posing challenges to moderation systems and remaining underexplored. In this paper, we investigate how to detect implicit toxicity expressed via neologisms. We first propose a taxonomy that captures t

Finance, VC & PE
arXiv cs.CY

EU-ETS under attack? The impact of carbon price suppression on the decarbonization of the power sector — open the original publisher

arXiv:2608.12363v1 Announce Type: cross Abstract: European countries are debating policies to mitigate the increased energy costs caused by renewed geopolitical tensions, while pursuing decarbonization and electrification. A notable example is Italy's 2026 Decreto Bollette package, which proposes to remove the carbon price equivalent from the bids of certain gas-driven power plants to wholesale electricity markets, among other provisions. We use this as a case study to assess the long-term impli

Environment
arXiv cs.CY

Position: We Need Practical AI Alignment Methods to Mirror Human Reasoning — open the original publisher

arXiv:2608.12372v1 Announce Type: cross Abstract: AI systems are increasingly employed as decision aids, decision delegates, or autonomous decision-makers. This position paper argues that in many settings, particularly high-stakes decision-making, we need accurate cognitively-aligned AI systems that reason similarly to their users, and faithfully communicate their reasoning. We review evidence that cognitive alignment improves understandability and trustworthiness, and provide new survey data sh

Safety & alignment
arXiv cs.CY

MOSAIC: Unveiling the Moral, Social and Individual Dimensions of Large Language Models — open the original publisher

arXiv:2603.00048v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly deployed in sensitive applications including psychological support, healthcare, and high-stakes decision-making. This expansion has motivated growing research into the ethical and moral foundations underlying LLM behavior, raising critical questions about their reliability in ethical reasoning. However, existing studies and benchmarks rely almost exclusively on Moral Foundation Theory (MFT), largely

Healthcare
arXiv cs.CY

Stand-Alone Complex or Vibercrime? Exploring the adoption and innovation of GenAI tools, coding assistants, and agents within cybercrime ecosystems — open the original publisher

arXiv:2603.29545v2 Announce Type: replace Abstract: Existential risk scenarios relating to Generative Artificial Intelligence often involve advanced systems or agentic models breaking loose and using hacking tools to gain control over critical infrastructure. In this paper, we argue that the real threats posed by generative AI for cybercrime are rather different. We apply innovation theory and evolutionary economics - treating cybercrime as an ecosystem of small- and medium-scale tech start-ups,

Safety & alignmentAgents & autonomy
arXiv cs.CY

The Illusion of Improvement: Reject Inference Strategies in Credit Scoring — open the original publisher

arXiv:2606.18479v2 Announce Type: replace-cross Abstract: Reject inference methods are widely used to mitigate survival bias in credit scoring, yet their effectiveness remains poorly understood. We systematically evaluate several such methods and uncover a structural failure mode: in a natural retraining cycle, models whose accuracy improves while recall collapses create an illusion of improvement that leads practitioners to believe the system is getting better when, in fact, its rejection quali

Bias & fairness
Artificial Intelligence Review

Reinforcement Learning and Model-based Planning in Practice: A Survey of Algorithmic Rationale and Domain Applications — open the original publisher

Reinforcement Learning (RL) is a foundational framework in Artificial Intelligence (AI) that enables agents to acquire optimal decision-making strategies through interactions with their environments. Building on principles of trial-and-error learning, RL adapts dynamically by leveraging feedback in the form of rewards or penalties. This paper provides a comprehensive survey of RL, its integration with Deep Learning into Deep Reinforcement Learning (DRL), and the emerging field of model-based pla

Agents & autonomyEnvironment
Artificial Intelligence Review

Data augmentation in multimodal frameworks: a survey — open the original publisher

Training machine learning models with more than one data modality has enhanced predictive performance in most contexts. Thus, many recent applications of machine learning use data from different sources and forms. Multimodal data augmentation (MMDA) addresses critical challenges in multimodal learning, such as data scarcity, modality imbalance, and cross-modal alignment. This survey systematically reviews 68 state-of-the-art MMDA approaches, and, as result, proposes a taxonomy for the area. For

Safety & alignment
Science and Engineering Ethics

Language Models as a Challenge for Business Ethics – A Partially Open-Source Approach — open the original publisher

Large language models have become central infrastructures of contemporary digital economies while raising persistent ethical concerns regarding linguistic inequality, opacity, data governance, and the concentration of technological power. Much of the current debate on AI ethics focuses on normative principles such as fairness, transparency, and accountability. While these principles remain essential, they often do not sufficiently explain why ethically problematic outcomes persist under competit

Bias & fairnessRegulation
Frontiers in Artificial Intelligence

Meditation styles are highly discriminable from EEG at the subject level with limited generalization across the population: a machine-learning study — open the original publisher

Meditation has been associated with improvements in attention, emotional regulation, and mental wellbeing, motivating increasing interest in objective methods for assessing meditative states. In this study, we investigate whether EEG-based machine learning can reliably distinguish between multiple meditation styles and mind-wandering states. EEG data were recorded from experienced meditators performing three meditation styles, Shamatha, Vipassana, and Metta, together with an eyes-closed mind-wan

RegulationFinance, VC & PE
Frontiers in Artificial Intelligence

Reassessing demographic bias in face attribute classification: a statistically grounded multi-model evaluation on FairFace and UTKFace — open the original publisher

Face analysis systems are widely used in security, authentication, and public-sector applications; however, demographic bias and the statistical reliability of reported performance remain key concerns. Many studies rely on aggregate accuracy without quantifying subgroup disparities or uncertainty, potentially overstating model fairness. This study presents a statistically grounded evaluation of demographic bias in face attribute classification across three representative architectures, ResNet50,

Bias & fairness
Frontiers in Artificial Intelligence

Explainable artificial intelligence in accounting and financial auditing: a systematic review — open the original publisher

Explainable Artificial Intelligence (XAI) has emerged as a response to the need to understand and make transparent the decisions of machine learning models, particularly in sensitive contexts such as accounting and financial auditing. In this domain, XAI enables the interpretation of results generated by automated systems applied to fraud detection, risk management, financial analysis, and regulatory compliance, thereby strengthening the trust of auditors and regulators. The objective of this st

RegulationTransparency
Frontiers in Artificial Intelligence

LATTICE: a governance-first architecture for authorized autonomous AI operations — open the original publisher

Deploying autonomous AI agents in high-consequence operational environments requires organizational authorization, yet few frameworks provide end-to-end, testable governance mechanisms suitable for such authorization decisions. This paper introduces LATTICE (Layered Agentic Triad Topology for Intelligent Coordinated Execution), a governance-first architecture that reframes the authorization question from “do we trust this AI?” to “do we trust this architecture?” The latter question is answerable

RegulationAgents & autonomy
Frontiers in Artificial Intelligence

Automated detection and counting of redbanded stink bugs in soybean using an improved computer vision model — open the original publisher

The redbanded stink bug (RBSB), Piezodorus guildinii, is a major economic pest of soybean, with feeding damage that leads to significant yield losses and increased reliance on pesticide applications. Current management practices depend on manual identification and repeated field counting, which are labor-intensive, time-consuming, and prone to human error, particularly across large production areas. To address these limitations, this study evaluated the potential of computer vision models to aut

Jobs & economy