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Regulation
Every AI regulation development as it happens: EU AI Act implementation, US federal and state action, UK, China and international standards.
Empowering fiscal reporting with digital and interactive approaches
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Policies supporting responsible and systematic GenAI adoption in higher education
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Making AI Work: Why Investing in Skills Matters
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Board Responsibility and Sustainability-Related Disclosure in Asia
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Continued progress on transparency and exchange of information for tax purposes boost African countries’ domestic resource mobilisation
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Monitoring exposure to future climate-related hazards
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Revenue Statistics in Africa 2025
Transport Explore transport Featured topics Artificial intelligence How to apply effective governance to harness the benefits of A.I. and mitigate its risks Climate mitigation and net-zero transition ...
Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets
In liberalised railway systems, operators must set prices dynamically in an environment with partial observability, as they retain private information about their objectives and performance, where regulatory constraints prohibit communication or direct information exchange between competitors to prevent explicit collusion. Consequently, agents must learn to infer strategic interactions only from observable market data which presents a significant challenge for multi-agent reinforcement learning,
Open Problems in AI Incident Governance
AI systems may produce failures after deployment that pre-deployment safety assessments do not anticipate. Managing these failures requires what we refer to as adequate \textit{AI incident governance}, where having good definitions, taxonomies, monitoring practices, reporting mechanisms, and incident analysis is essential. We examine existing frameworks related to AI incident governance by regulatory bodies and independent efforts, and find that while there are frameworks that describe how indiv
Privilege and confidentiality in generative AI workflows
Generative AI (GenAI) systems store and process client data in three distinct ways: in the model's parameters through training and memorisation, in the context window during a live session, and in knowledge databases for retrieval-augmented generation (RAG). Each mode creates different and often counter-intuitive risks to confidentiality and legal professional privilege, and each calls for specific governance responses. Drawing on the first English and American decisions to address privilege and
Constance Viehbeck
Constance Viehbeck is an ESRC-funded PhD candidate in the Department of Health Policy at LSE, researching how pharmaceutical research and regulation shape health equity. Her work combines quantitative ...
Emily Weigold
Emily Weigold is a PhD candidate within the Department of Health Policy. Her research is funded by the Alzheimer’s Society as part of their Doctoral Training Centre for Integrated Dementia Care ...
UK regulator warns of "arms race" to keep up with AI use in financial services
FCA official makes case for greater powers for watchdog as millions use technology for personal finance decisions.
CDT Letter on Reintroduced AICOA Bill
Senators Grassley and Klobuchar have re-introduced the American Innovation and Choice Online Act (AICOA), to address competition concerns with market concentration in the online platform marketplace. The new bill is similar to a version of the bill that saw action two Congresses ago, but has been revised in significant respects. As the letter indicates, CDT plans […] The post CDT Letter on Reintroduced AICOA Bill appeared first on Center for Democracy and Technology .
European Society without European Private Law?
Integration Through Law was and remains, in various forms, the major driver of European integration. Constitutional Pluralism arose out of constitutionalisation, counterbalancing the move to neoliberalism in the new millennium. In Commission v Hungary, the Court recognised European society “in which pluralism prevails” as a legal concept. The Court radiates judicial authority at a time when Europe is again in crisis, politically through populism, economically through competitiveness and sustaina
Where State AI Legislation Stands Half Way Into 2026
Huawei’s next smartphone chip taps new scaling law for performance boost: paper
Huawei Technologies’ coming smartphone processor is on track for a performance boost, without the need for more advanced processing nodes or lithography technology, according to new production data unveiled by the firm. Using Huawei’s LogicFolding architecture, the Kirin 2026, a mobile processor set to power the firm’s coming flagship Mate handsets launching this autumn, has increased transistor density by 55 per cent compared to last year’s Kirin9030 Pro, according to an updated paper on the...
FTC Warns Companies Making Questionable ‘Made in the USA’ Claims
Warning letters sent to seven companies urge compliance with FTC’s Made in the USA Standard The Federal Trade Commission today issued warning letters to seven companies that appear to have misrepresented certain products as “Made in the USA,” and one company that appears to have misrepresented certain products as “Made in Texas,” despite indications that such products were imported, in whole or in significant part. View Press Release
Private International Law and European Society
Can one speak of a European society without speaking about private relations? Recent scholarship on European society has largely approached the concept through the lens of public law. Yet societies are constituted at least as much by the horizontal relations between individuals and groups as by public institutions. This blogpost turns to EU private international law (PIL) and will argue that EU PIL brings into view the importance of coordination frameworks for organising a mode of integration ba
Law and Media Round Up – 6 July 2026
The punk-rap duo Bob Vylan has filed defamation proceedings against the BBC in the High Court in Ireland, following its coverage of their 2025 Glastonbury performance, which the broadcaster described as containing “anti-Semitic sentiments.” The case stems from controversy over chants the band led calling for “death to the IDF [Israel Defence Force],” which the […]
5 insights from Frost & Sullivan’s 2025 Frost Radar™ for Cloud Security Posture Management
Read five key learnings from the Frost & Sullivan 2025 Frost Radar™ for CSPM to learn how CSPM is evolving from point-in-time compliance to continuous risk management.
Huawei Mate 90 series reportedly to feature new Kirin 2026 chip based on Tao (τ) Law
According to China STAR Market Daily, sources familiar with the matter said Huawei’s Mate 90 series, expected to launch this autumn, is planned to feature a new Kirin chipset based on the company’s Tao (τ) Law. Huawei introduced Tao (τ) Law in May this year as a new guiding principle for semiconductor development. The framework […]
Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
Reinforcement learning (RL) post-training for large language models (LLMs) follows a efficient paradigm of "rollout then update", which inevitably results in off-policy training data. To resolve this, Importance sampling (IS) is proposed, while the token-level ratios compound over long sequences, causing severe variance exploded. A natural idea is "transferring" these off-policy token into on-policy token, so that the importance scores for correction are unnecessary. Following this idea, we prop
Strategic Buying Agents
Agentic AI is shifting online shopping from search toward delegated purchasing, where autonomous buying agents monitor markets and decide when to buy on a consumer's behalf. We study the design of such strategic buying agents, which must decide when to purchase within a finite shopping window, translating price observations, the remaining time horizon, and beliefs about future price changes into a purchase policy. We formulate this problem across three information regimes: stationary, Bayesian,
Next steps for EU law and regulation for the digital world
On the morning of 4 September, CEPS will convene a public event to launch a report summarising the work of a CEPS Task Force on ‘Next steps for EU law and regulation for the digital world’. The need ...
Do Vision-Language-Action Models Mean What They Say? On the Role of Faithfulness in Embodied Reasoning
Embodied Chain-of-Thought has emerged as a promising mechanism to enhance robot decision-making and interpretability in black-box Vision-Language Action (VLA) models. However, whether this verbalized Chain-of-Thought truthfully reflects the policy's underlying decision process remains poorly understood. We distinguish between functional reasoning, in which reasoning improves task performance, and faithful reasoning, in which reasoning truly reflects the policy's internal decision process. We arg
Joint Statement: Pegasus in the European Parliament, the EU Must Act Now
CDT Europe is publishing a joint statement with civil society organisations and individual signatories calling on the EU institutions to regulate spyware technologies after the 2026 Citizen Lab revelations. On 3 July 2026, a forensic analysis by the Citizen Lab revealed that Stelios Kouloglou, former Member of the European Parliament and investigative journalist, was targeted […] The post Joint Statement: Pegasus in the European Parliament, the EU Must Act Now appeared first on Center for Democr
From AI to ‘killer robots’: UN chief issues urgent governance call
UN chief António Guterres appealed on Monday for far-reaching, worldwide controls on Artificial Intelligence, as increasingly powerful AI chips that are designed for civilian use shift to the ...
Government AI Use as a Monitoring Primitive: A Public Document Pilot Study
Governments are important actors in frontier AI governance, but many facts about their adoption and use of AI systems are difficult to observe directly. Procurement disclosures and official statements are useful, but can also be delayed, selective, and better suited to measuring formal adoption than actual day-to-day use. We propose a complementary monitoring primitive: measuring traces of language-model assistance in public government documents. The approach is lightweight, externally reproduci
Hybrid Algorithmic Governance in U.S. Welfare Administration: State- and County-Level AI as a Case of Support-Control Convergence
This article examines the institutional conditions under which artificial intelligence systems in U.S. welfare administration come to operate as instruments of support or as instruments of control. Rather than asking what welfare algorithms "really" are (tools of proactive assistance or infrastructures of surveillance) the article starts from the premise that support and control are co-present within the same system, while their relative balance shifts over time. This movement is conceptualized
Trust Region Policy Distillation
Big goals are hard to achieve all at once; breaking them into small steps is wiser. We present Trust Region Policy Distillation (TOP-D), which transforms the notoriously unstable, high-variance On-Policy Distillation (OPD) into a stable training paradigm by dynamically constructing a proximal teacher. Theoretically, we establish a rigorous framework demonstrating that TOP-D inherently controls gradient variance. By providing a formal global convergence analysis alongside a monotonic improvement
Solomon Islands: Selected Issues
TOPICS Artificial Intelligence Fintech Fiscal Policies Governance and Anti-Corruption All Topics Research Flagship Publications World Economic Outlook Global Financial Stability Report Fiscal Monitor ...
Climate alignment of finance: different policy playbooks and untapped investment opportunities
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Launch of the OECD Employment Outlook 2026 – Tuesday 7 July
How to apply effective governance to harness the benefits of A.I. and mitigate its risks ...
Restoring Obscenity Regulation in an Internet Age
The U.S. Supreme Court has upheld a Texas law requiring websites with substantial sexual content to use age verification to prevent access by minors. This was a significant win for states enforcing ...
Global push for AI governance amid warnings of ‘catastrophic harm’
Can artificial intelligence benefit all of humanity – safely, fairly and without causing “catastrophic harm”? That is the question at the heart of a major UN summit opening in Geneva on Monday.
Metsola heads for clash with her own Parliament over child abuse bill
Parliament president and EU countries are playing procedural politics to pass a law to scan internet services for child abuse material.
Agentic-V2X: Small Language Model Agents for Deadline-Aware V2X Scheduling in 5G/6G Networks
Large Language Models (LLMs) are proposed as control interfaces for next-generation networks, but their latency, hallucinations, and lack of control guarantees make them unsuitable for near-real-time packet schedulers, especially in dynamic V2X environments. This paper introduces Agentic-V2X, an architecture where a small, locally deployed language model acts as a periodic non-real-time rApp-inspired policy creator, while a lightweight xApp-like controller executes validated policies at interval
Bipartisan coalition of state AGs take on tech over age verification
Led by Florida’s James Uthmeier, 27 state attorneys general filed an amicus brief before the Supreme Court supporting a Texas online safety law.
High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow Matching
Generative models such as diffusion and flow matching have advanced robotic visuomotor policies by modeling multimodal action distributions, but their multi-step sampling or ODE solving introduces inference latency. Existing one-step acceleration methods often compress the whole generation process into a single large update, leading to spatial deviation, frequency distortion, and mode averaging. This paper proposes a high-fidelity one-step generative visuomotor policy framework that addresses th