Regulation

China is facing a delicate regulatory balancing act as it weighs the security risks of open-weight AI models against an innovation strategy that has been crucial to its race for technological supremacy with the United States, researchers said. Traditionally, open-weight models – which allow anyone to download code for free and run it on local hardware – have lagged months behind proprietary frontier models. But recent releases from Chinese labs have significantly narrowed that gap. Zhipu AI’s...

Big brands want the CMA to gut app store security to dodge fees. Regulators must fix real problems — without breaking the trusted ecosystem small developers depend on.

The Bank of Thailand kept its policy rate unchanged. Financial market conditions improved, but the external position weakened as the higher oil import bill widened the current account deficit and ...

Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger replayed contexts -- so tokens per task grow faster than task value. Falling per-token prices mask the pattern; total spend rises anyway. We argue the decisive lever against token maxing is the harness: the orchestration layer that assembles context, exposes tools, sequences turns, delegates work, and carries enterprise observability and governance.

PHMSA proposes to modernize and to clarify the anomaly response criteria in the Federal pipeline safety regulations for gas transmission and hazardous liquid pipelines. Driven by twenty years of technological development, modern engineering concepts allow operators to identify, schedule, and remediate pipeline anomalies more effectively and in a less costly manner. PHMSA proposes incorporating these improved safety practices into its regulations by finalizing certain safety improvements advanced

Recent cases of forced explantation of neurotechnologies seem to be grounded on a pre-theoretical naturalist conception of the body as an entity that cannot have a non-biological object as a proper part. However, this conception has been challenged by functional approaches, according to which if an artifact robustly contributes to the function of a body, it is part of it and should be legally treated as such. Bublitz ( 2022 ) argues that a series of problems would result from revising the law to

Ransomware poses an escalating cybersecurity threat as attackers continuously modify behavioral patterns to evade static defenses. Although existing machine learning-based detectors often achieve strong predictive performance, they generally assume fixed training data and do not support the selective removal of previously learned samples. This limitation conflicts with privacy regulations such as the GDPR and CCPA, which require the removal of sensitive user data upon request. To address this ch

In the era of digital revolution many contemporary events that changed the world were shaped through the internet. Nowadays, the emergence of internet of things (IoT), combining physical objects with virtual networks is expected to have even more influence. This new 'decentralised' structure in the world raises questions such as power, governance and the notion of democracy online. The aim of this paper is to investigate these notions. We have taken the examples of Bitcoin and Wikipedia and exam

Reinforcement learning with verifiable rewards (RLVR) is a powerful recipe for improving language-model reasoning, but it is expensive to repeat on every new strong model because the target model must generate many rollouts during training. As models scale, post-training itself becomes a bottleneck. We study a weak-to-strong alternative: run RL on a smaller model where rollouts are cheaper, then reuse what that RL run learned to improve a stronger target model. Directly distilling the post-RL we

Reinforcement learning (RL) has become the standard paradigm for enhancing the complex reasoning capabilities of large language models (LLMs). To achieve sample efficiency, modern RL frameworks rely on importance sampling (IS). However, these algorithms suffer from an exploration-stability dilemma. Pure IS often leads to catastrophic training instability, while standard clipping mechanisms used to mitigate this instability strictly constrain the policy update budget. By formalizing the concept o

The post Ken Paxton Vowed to Crack Down on “Illegal Voting.” He May Have Violated Texas Election Law. appeared first on ProPublica .

We also assume policy and geopolitical uncertainty remain elevated throughout 2027 and that the AI-driven technology cycle moderates from here with no exogenous boost to productivity. Now turning to ...

The scientific panel of independent experts (the Scientific Panel) is a body established under the EU AI Act to support the enforcement of rules on general-purpose AI (GPAI) models and systems. It sits within the Act’s broader governance architecture as one of the three advisory bodies, alongside the AI Board ( established under Article 65) […]

Data visualizations can inform, explain, and sway public opinion and policy decisions. This course imparts design thinking and data ethics frameworks, along with practical software skills, to ...

Concept unlearning in text-to-image diffusion models is critical for safe and practical deployment: with rising privacy concerns, copyright disputes, trademark constraints, and safety regulations, deployed systems must be able to suppress unwanted concepts after training. Existing methods often remove the target concept effectively, but practical unlearning also requires an equally fundamental property: the unlearned model should retain quality, diversity, and semantic coverage on benign generat

A recent judgment of the European Court of Human Rights concerning a TikTok video published by a Georgian self-defined civil activist adds another layer to the Court’s increasingly messy Article 10 case law. The applicant repeatedly insulted public officials in crude and sexually explicit terms while broadcasting to a large online audience. Domestic courts imposed only a modest administrative fine, later reduced on appeal. The ECtHR did not find a violation of the applicant’s right to freedom of

GENEVA, 7 July 2026 — The Youth Zone at the AI for Good Global Summit 2026 commences its program today with a robotics competition, a series of hands-on artificial intelligence seminars, and a policy discussion on the skills that classrooms should prioritise as AI becomes more ingrained in daily life. A continuum approach to AI literacy, rather than a single fixed curriculum, is reflected in the participation of children as young as six and young adults. The post From Coding Robots to Speed Netw

Who is legally responsible when Artificial Intelligence causes harm? The issue took centre stage on Tuesday – day two of the first ever UN summit on AI governance, where leading experts warned of ...

Commission v Hungary must be understood in the context of the European rule of law saga and the ongoing struggle for true European solidarity. The CJEU confirmed the autonomous justiciability of Article 2 TEU even when the link to specific EU Charter provisions or secondary legislation would already suffice. A close look at ASJP case and its antecedents discloses a European society selectively built – protecting some configurations while leaving others outside – with solidarity, as an operative

Antoine Vauchez famously stated that the “constitutionalization of Europe” flourished in the hills of Fiesole. The Academy of European Law (AEL) at the European University Institute organizes an annual Summer Course on the Law of the European Union for two weeks of intensive lectures and exchange. I reflect on this year’s Summer Course as a site where ideas of European society are debated, contested, and further developed. Ultimately, I will critically reflect on what the Summer Course might tel

The post The First Major Overhaul of Public Lands Grazing Regulations in a Generation Looks to Cut Out Public Involvement appeared first on ProPublica .

The post Oral statement at the Global Dialogue on Artificial Intelligence Governance appeared first on Access Now .

The integration of Large Language Models (LLMs) into scientific research workflows, particularly for bibliographic discovery and literature synthesis, raises significant methodological, epistemic and regulatory challenges for the Social Sciences and Humanities (SSH), especially with regard to disciplinary diversity, multilingual access to sources and the evaluation of results. This paper presents an on-going use case developed within the European project LLMs4EU and the ALT-EDIC infrastructure,

A matrix for assessing whether AI systems meet governance duties and deliver value for purpose, people, profit and planet.

Fact checkers should maintain high standards of accountability because they hold unique positions in society by verifying content that can influence political practices and society as a whole. To maintain these professional standards, fact-checking network organizations such as the International Fact-Checking Network (IFCN) and the European Fact-Checking Standards Network (EFCSN) have established codes of standards, and fact-checking organizations should comply with them in a substantive way. Th

Major platforms constantly claim to fight disinformation and support the fact checking community, but their transparency reports and the empirical evidence from a survey of expert fact checkers across 21 EU countries show a different reality. This study finds that despite commitments made under EU regulations, expert fact checkers remain largely peripheral actors within the existing platform governance framework, with limited insight into how their work influences platform decisions. The post Ac

On-policy distillation (OPD) trains a student policy by matching a stronger teacher on the student's own trajectories, offering a promising framework for language agent training. However, its application to long-horizon agentic tasks remains insufficiently explored. We identify two key inefficiencies in vanilla agent OPD: (1) full-horizon rollouts often waste wall-clock resources on tail turns that provide weak and noisy KL supervision, and (2) trajectory-level KL objectives concentrate most of

Image guardrails are typically trained and evaluated under a fixed safety policy, implicitly treating safety as an intrinsic property of an image. Real deployments are different: the same image may be allowed in one product, restricted in another, and newly disallowed when a policy boundary changes. We study policy-adaptive image guardrailing, where a model must decide whether an image violates the currently supplied policy and generalize to held-out policy definitions. We introduce PolicyShiftB

The Federal Trade Commission ("Commission") is proposing a policy statement regarding the application of the prohibition on deceptive acts or practices in section 5 of the Federal Trade Commission Act to companies that market artificial intelligence ("AI") systems.

Six AI-hallucinated judgments formed the basis for the Supreme Court's striking down of an order passed by the National Company Law Tribunal (NCLT) on Thursday. Three of the cited judgments did not exist, while the remaining three either d ... (https://incidentdatabase.ai/cite/1573#7493)

Contemporary institutions increasingly treat optimised procedures as decisions in their own right. This article advances an ontological limit claim for AI governance: moral judgment is constitutively personal and therefore non-delegable. Building on a minimal philosophical anthropology—person/thing distinction; irreducibility of phronēsis; the person as an end; responsibility as constitutive; and the capacity to initiate—we argue that algorithmic assistance can legitimately expand human delibera

The Artificial Intelligence Safety Measures Act requires developers of the most advanced AI models to yield to new levels of state oversight.

Artificial intelligence increasingly mediates consequential decisions in healthcare, law, and public services, and the field has responded with an extensive methodology for measuring and mitigating bias. Yet the fairness definitions, benchmarks, and debiasing frameworks on which this methodology rests are treated as universal while being produced by a research community whose composition has never been characterized. We show that the AI bias research are structurally concentrated, and that this

The decision allows Texas to enforce its age verification law as a legal challenge plays out.

The UNESCO Office for the Caribbean was pleased to present the UNESCO Caribbean Artificial Intelligence (AI) Policy Roadmap at the 126th Special Meeting of the Council for Trade and Economic ...

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The UN Global Dialogue on AI Governance (6–7 July 2026, Geneva) will bring together Member States and stakeholders to engage in the meaningful global conversation on AI that the world needs.

How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...

How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...

How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...