Regulation

On 7 July 2026, Mr Justice Nicklin handed down judgment following the lengthy trial of the misuse of private information and breach of confidence claims brought by seven Claimants against Associated Newspapers Limited (“Associated”), the publisher of the Daily Mail, Mail on Sunday and MailOnline; Baroness Lawrence of Clarendon OBE & Ors v Associated Newspapers […]

Eine Bill-of-Materials-Berechnung besagt, dass Apple auch beim iPhone 18 Pro Max die Preise erhöhen dürfte. Die Komponentenkosten steigen deutlich.

The China Internet Association released a self-regulatory pact on personal information protection for AI agents at a forum in Beijing, with Baidu, Tencent, Alibaba, Volcengine, and 27 other internet companies among the first signatories. The pact is aimed at standardizing how AI agents collect, process, and use personal data as agent-based services spread across internet […]

The promise of AI literacy ``for all'' confronts a structural challenge embedded in how nations organise secondary computer science education. In most systems, a general-track subject -- Digital Literacy, ICT, TIC, or SNT -- bears the weight of universal AI literacy, while a specialist Informatics course serves STEM pathways separately. Yet the content and depth of the general track are shaped by governance decisions made largely with reference to the specialist one. This paper presents a compar

Moving from tool approval to true governance is the only way for CISOs to keep pace with the accelerating velocity of software risk. The post AI-generated code has made security debt a governance problem appeared first on CyberScoop .

Post-training is essential for refining the domain-specific capabilities of large language models (LLMs), yet existing reward optimization and distribution matching methods tightly couple policy exploration with distribution alignment. This coupling forces expensive exploration directly on the policy model and severely hinders the asynchronous generation, reuse, and cross-model transfer of optimization signals. In this paper, we propose Proxy-guided Update Signal Transfer (PUST), a novel post-tr

State regulators are ramping up children's privacy enforcement, focusing on parental consent, company knowledge of minors, and protective safeguards.

Artificial intelligence agents can both read data and write actions, meaning security and governance are critically important.

Experts call for robust enforcement of the rules on general-purpose AI with systemic risk, as the Commission unveils a new plan on advanced AI and cybersecurity.

Published 13 July 2026 — 3 minute READ Image — Kanishka Narayan, the UK’s Minister for Artificial Intelligence and Online Safety, speaks at an event celebrating the AI Impact Summit 2026, in New Delhi ...

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

The Office of Management and Budget (OMB) seeks public comment on the advisability of adopting the proposed North American Industry Classification System (NAICS) updates for 2027 recommended by its Economic Classification Policy Committee (ECPC). The ECPC recommends an update of NAICS to clarify existing industry definitions and content, recognize new and emerging industries, and combine industries. There are two parts in the SUPPLEMENTARY INFORMATION section below. Part I summarizes the backgro

IntroductionGenerative artificial intelligence is increasingly used in higher education, yet its educational value depends not only on technological access but also on how its use is pedagogically regulated. This study examined how teacher-regulated generative AI support is associated with university students' perceived learning gains in higher education. It further tested whether student agency mediates this association and whether perceived fairness conditions the strength of the association b

If an AI entity is conscious, it deserves moral status and to have its welfare protected. Just as society has granted certain animals moral status with legislation to protect their welfare because they have been deemed to be sentient, this paper shows that for any AI that can be confidently determined to be conscious, that AI deserves the same status and protection as sentient entities. This paper’s focal point is developing a framework for how an AI entity’s welfare can be protected, based on t

A snapshot of where districts stand on AI and what it reveals.

Vision-language-action (VLA) models predict robot actions from visual observations and language instructions. These actions are defined in the robot's own 3D coordinate frame, yet most VLAs observe the scene in the camera frame, creating a frame mismatch between where the scene is observed and where actions are defined. The mismatch is benign under a fixed viewpoint, where the policy can memorize a single observation-to-action mapping, but grows harder as large-scale datasets aggregate demonstra

AI agents are evolving from answer engines into persistent teams that use tools, delegate work, learn from experience, and modify the artifacts that shape their future behavior. The defining question for deployment is no longer merely what agents can do, but who controls what they are allowed to become. We introduce logos, a pluggable layer for self-evolution and governance that strengthens existing multiagent frameworks rather than replacing them. logos compiles heterogeneous multimodal inputs,

Reinforcement learning for large language models (LLMs) typically relies on trust-region masks to stabilize off-policy updates. The dominant PPO-style approach uses the sampled-token importance ratio for two criteria: a proximity criterion, which asks whether the policy has moved too far from the behavior policy, and a direction criterion, which asks whether the update pushes it farther away. Recent work DPPO improves the proximity criterion by replacing PPO's ratio-based test with a probability

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. Artificial Intelligence (AI) opens up immense possibilities: it ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. Business needs government to harness local comparative advantages ...

UCL has been selected as one of 35 UK universities to join the Defence Universities Alliance (DUA), working with the Ministry of Defence (MOD) to focus on shaping the new forum’s scope, governance and ...

On-Policy Self-Distillation (OPSD) has emerged as a crucial paradigm for enhancing and aligning Large Language Models (LLMs). However, in complex reasoning tasks, OPSD paradoxically degrades downstream performance. In this paper, we systematically investigate this pathology and identify a severe optimization trap we define as \textbf{Thinking Collapse} -- a sharp decline in the model's native intermediate reasoning behavior, measured by epistemic-token density (ET per 1k). Through entropy-based

The accelerating shift toward low-carbon power systems, together with the widespread adoption of behind-the-meter technologies such as rooftop solar and electric vehicles, is placing new operational and analytical demands on electricity grids. At the same time, smart-grid research increasingly relies on machine learning (ML), yet progress is constrained by limited access to high-resolution household energy data due to privacy concerns, regulatory barriers, and collection costs. This work present

The economic value of data arises from its flow across organizations and national borders. Yet increasingly stringent data governance regimes are turning cross-border transfer into an institutionally constrained sequential decision, in which firms repeatedly weigh compliance costs against the value of data flows. From the perspective of a data-exporting firm, this paper develops an institutionally anchored decision support system. It converts regulatory rules into a computable minimal compliance

Efficient waste segregation is critical for sustainable urban management and environmental governance. Existing automated systems are limited by single-modality visual processing, insufficient contextual understanding, and weak regulatory alignment. To address these issues, we propose a language-guided vision-AI framework that integrates vision-language models and multimodal large language models for joint visual-linguistic reasoning. This framework implements a visual question answering paradig

Tasks such as customs tariff classification, export control categorization, and standards-based equipment coding require assigning an input instance to a fine-grained class under an explicit regulatory hierarchy. Unlike standard text classification, the correct label in these tasks is not determined by semantic similarity alone, but by rule-defined boundaries, threshold conditions, exclusion clauses, definitions, and local exceptions. As a result, two highly similar inputs may require different

As AI voice synthesis enables increasingly sophisticated vocal deepfakes and non-consensual voice cloning, the governance, licensing and access of singing datasets has become an urgent concern for data-contributors, who face significant harms from downstream and non-consensual usage of their singing data. Singing datasets are foundational to the development of high fidelity voice AI synthesis, yet current data collection practices pose challenges: data-contributors have an event-centric contribu

A cryptocurrency regulation bill is facing a make-or-break moment as senators seek to resolve remaining policy disputes in the next four-week stretch, which experts warn is likely the last window to pass the legislation before the midterm elections. Bipartisan negotiations over the Clarity Act, which aims to provide a regulatory framework for the digital assets...

Reinforcement learning for large language models (LLMs) typically relies on trust-region masks to stabilize off-policy updates. The dominant PPO-style approach uses the sampled-token importance ratio for two criteria: a proximity criterion, which asks whether the policy has moved too far from the behavior policy, and a direction criterion, which asks whether the update pushes it farther away. Recent work DPPO improves the proximity criterion by replacing PPO's ratio-based test with a probability

From local communities to the global stage, a diverse group of young leaders from Thailand is helping shape conversations on public policy, climate action, inclusion, indigenous rights, disability ...

Experts say there will still be opportunities ahead in everything from teaching to hotels and the law Entering the world of work often brings some uncertainty, but now there is another question: how can I AI-proof my career? We asked people from across various industries what they think the impact of AI will be on careers, and which jobs may be less affected. While it is still early days for the tech, many had ideas about how you can best prepare yourself for a successful career in this new

We evaluate when sparse autoencoder (SAE) features act as localized control handles for safety-relevant behavior. This question is difficult because apparent success can arise from weak interventions, mismatched baselines, model robustness, or degenerate outputs that automated safety judges mark as unsafe without representing meaningful harmful compliance. We introduce a matched coherence-gated evaluation protocol for runtime safety interventions: methods are compared at matched target-effect po

GENEVA, July 10, 2026 - The AI for Good Global Summit concluded following four days of sessions that demonstrated the widespread application of artificial intelligence in a variety of sectors, including health and agriculture, mobility, education, creative industries, and public policy. The summit also raised awareness of quantum technologies, robotics, and the standards and infrastructure required to facilitate their widespread deployment. The post Day 4 at the AI for Good Global Summit: Women’

Safety alignment in large language models remains brittle across languages: prompts reliably refused in English can elicit harmful compliance in non-English and low-resource settings. We introduce \textsc{Minionese}, a multilingual jailbreak benchmark spanning 18 languages, 4 resource tiers, and 4 perturbation types (standard translation, code-switching, transliteration, and translationese), paired with a geometric mechanistic analysis of refusal failure across language tiers. We show that each

Artificial intelligence is reshaping hospital care delivery through federated learning pipelines, edge-cloud inference architectures, and AI-driven clinical decision support. Yet the translation of these AI capabilities into patient-centred, institutionally governable, and humanised hospital systems remains fragmented across the literature. This paper addresses that gap through a PRISMA-compliant systematic evidence synthesis of 116 included studies and reports (inter-rater reliability $$\kappa

The Red Line Bob Giuffra Drew For Himself Didn't Last: Sullivan & Cromwell said it would never touch the Carroll cases... Sullivan & Cromwell is now touching the Carroll cases. Law School Laptop Ban : Chicago wants to get ahead of AI and decided banning laptops from classrooms was the way to do it . What Is Biglaw Waiting For? : Just announce raises already. Associates are tired of this waiting game. Trump's Supreme Court Redo Requests : Twice in one week, Trump has suggested the Supreme Court g

The process of securing that job starts before law school even starts. The post Biglaw Summer Associateships Are Hugely Important To Your Legal Career appeared first on Above the Law .

But are young lawyers learning? The post Stat(s) Of The Week: ‘Soft Skills’ Are All The Rage appeared first on Above the Law .