Privacy

arXiv:2607.15134v1 Announce Type: new Abstract: We study how a representative sample of United States adult AI-assistant users (n=1,999; June 2026) choose among platforms, allocate tasks across them, evaluate provider trustworthiness, and value data-handling features. Estimates are weighted to the AI-user population using external adoption benchmarks. Four patterns emerge. The market is concentrated but internally differentiated: ChatGPT is the primary assistant for 58% of users and Gemini for 2

Synthetic sequential tabular data are increasingly used for privacy-preserving data sharing, yet a generator can reproduce every marginal and every foreign-key relationship while emitting timestamps that run backwards or repeat, and while sending entities along paths that no real entity followed. Conventional tabular evaluation, which pools records into static distributions, is blind to such failures. We present a taxonomy-guided evaluation protocol for temporal fidelity, in which the applicable

As concerns around data privacy in machine learning grow, the ability to unlearn—or remove—specific data points from trained models becomes increasingly important. While state-of-the-art unlearning methods have emerged in response, they typically treat all points in the forget set equally. In this work, we challenge this approach by asking: do points that have a negligible impact on the model’s learning need to be removed? Through a comparative analysis of influence functions across language and

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.

Google says these changes could endanger user privacy and security.

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

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

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

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...

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

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

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 .

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 ...

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

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

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.

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

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 […]

The California legislature has stepped back from a plan that would have expanded its age-gating law, removing language that could have compounded serious threats to users’ speech, privacy and security just to browse the internet. A.B. 1856 , authored by Assemblymember Buffy Wicks, will now move forward through the legislature without its most problematic pieces. EFF still believes the underlying law that A.B. 1856 amends, A.B. 1043 , is unconstitutional. Signed into law in 2025 (and effective Ja

Rep. Josh Gottheimer (D-N.J.) introduced a bill Wednesday that would require prediction markets and online sportsbook to use facial recognition to verify users' ages to avoid minors from placing bets or trading on platforms. The New Jersey Democrat announced the bill alongside Kalshi CEO Tarek Mansour, who said he welcomed the proposal on top of...

Oura Rings, Garmin GPS fitness watches, Apple Watches, Whoop bands—every year, more and more tech devices are promising to monitor our health and fitness, guide us toward healthier living, and provide useful health metrics to take to our doctors. But few of these tools provide the sorts of privacy and security promises we demand from all technology, let alone tech that captures personal health data. It’s time they step up and start providing transparency reports and stronger encryption options.

The lawsuit highlighted concerns that the privacy of Apple’s iCloud allows illegal material to be easily stored and shared on the service.

Federated learning (FL) enables multi-institutional training on clinical text without sharing raw data, but gradient inversion can reconstruct sensitive information from shared model updates. The extent of this leakage for radiology reports, and the role of tokenizer design, remains unclear. We quantify gradient-based text reconstruction in FL and compare privacy risk across three tokenizers with the model architecture held fixed. Six FL clients trained a GPT-2-style transformer (sequence length

The effort to age gate the internet is back in Washington—and now it has a new name. Recently passed by the House of Representatives, the KIDS Act is a sprawling package of proposals to control what we can see and say online. Supporters claim the KIDS Act is needed to protect minors online. But if lawmakers really want to make the internet safer, why are they encouraging more surveillance instead of protecting our privacy? We dive into this question with our EFFector newsletter . JOIN OUR NEWSLE

Co-authored by Jack Maketa, U.S. Legislation Intern On June 30, the Future of Privacy Forum (FPF) submitted comments in response to the California Department of Justice’s (the Department’s) ongoing rulemaking process for the “Protecting Our Kids from Social Media Addiction Act” (the Act or SB 976). Signed into law in 2024, SB 976 bars operators […]

On Wednesday, EPIC submitted comments urging the U.S. Department of Agriculture (USDA) to withdraw its revised System of Records Notice for the proposed National SNAP Information Database, a centralized database that would unlawfully collect sensitive personal information about Supplemental Nutrition Assistance Program (SNAP) applicants and recipients nationwide.

Whistleblowers are a key safeguard against organizational wrongdoing, but the threat of retaliation deters reporting. Existing whistleblower-protection proposals lack formal privacy guarantees, and existing differential privacy mechanisms do not directly target the natural threat model -- one in which the audited organization itself observes auditor selection decisions and uses them to identify reporters. We formalize protection against a strong-adversary threat model as per-report $(0, δ)$-diff

“It wasn’t just an AMRAAM that came off,” Air Force Chief of Staff Gen. Kenneth Wilsbach told Breaking Defense. “It was tracking the target.”

Understanding how visitors engage with interactive exhibits usually calls for either labour-intensive manual observation or invasive multimodal sensing -- eye-tracking, cameras, wearables -- that few science centres can deploy at scale. We ask how much can be learned instead from the handful of fields that most touch-enabled exhibits already log by default: a session's start time, end time, and press count. Analysing 2,816 visitor sessions across eight exhibits at two venues of a science experie

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The U.K. Department for Science, Innovation and Technology and Information Commissioner's Office announced the seven inaugural non-executive board members who will lead the reorganized data protection ...

Maneuvering target tracking in three-dimensional space remains a challenging problem due to complex motion dynamics and model mismatch. To address this, this paper proposes a hybrid model/data-driven algorithm named IMMNet, which integrates the interpretable structure of the interacting multiple model (IMM) algorithm with learnable neural components. Unlike end-to-end black-box methods, the proposed IMMNet algorithm not only can preserve the Bayesian inference mechanism that is essential for rea

On Techpoint Digest, we discuss Kenya licensing 25 more digital lenders, Malawi tightening data protection regulations, and Morocco reducing card payment fees.

In today's edition: Moniepoint taps former Branch Kenya CEO || Kenya approves 25 more digital lenders || Rwanda rolls out eKash || Malawi proposes data protection rules

Paid-for political access and threadbare regulations have helped to embed the US tech firm in the NHS – and beyond. But there is a way to free ourselves Andy Burnham faces a lot of big decisions . But one of the incoming prime minister’s biggest early tests is what he does about the world’s “ scariest company ” – Palantir. The US defence and surveillance tech behemoth has a swathe of British public contracts, including, most controversially, a £330m deal with the NHS . It’s pretty clear what man

SK Hynix led a broad rally in Asian technology shares on Wednesday, tracking a rebound in U.S. semiconductor shares after a sharp selloff earlier this week.

Artificial intelligence (AI), particularly machine learning (ML) systems, is increasingly used in mental healthcare to support diagnosis and treatment. These systems analyse large datasets—including speech patterns, social media activity, and biometric indicators—to detect conditions such as depression and anxiety. Although often framed as objective and clinically neutral, these technologies embed epistemic and cultural assumptions derived largely from Global North contexts. This paper advances

Personalized recommendation systems are central to modern e-commerce and retail platforms, but they typically rely on centralized storage of detailed user interaction data, creating significant privacy and regulatory challenges. With increasing requirements from regulations such as GDPR, CCPA, and CPRA, organizations must develop recommendation systems that preserve user privacy without substantially degrading recommendation quality. This work presents and evaluates a privacy-preserving recommen