Regulation

* One of the architects of Kirkland's rise now sees AI as the profession's future. [ WSJ ] * Kalshi angrily rails against Wisconsin law making it illegal to gamble on elections as "voter suppression." Because think of all the voters who might come out to the polls if they were bribed by someone with significant action on the outcome! [ NPR ] * Former DOJ lawyer testified against Blanche, so her state's Republican Senators whipped up their followers who then started sending her death threats. [ M

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law. Today, bringing a new drug to market takes an average of 10-15 years and costs…

For the enterprise, the promise of agentic AI is much more than just a better chatbot. It is software agents that execute business tasks end-to-end across people, business workflows, data, and systems. The platform best-suited to run agents is built with proper CPU capacity, resilient data access, policy-aware tool use, observability, memory management, and the…

As patients increasingly bring AI chatbot advice into exam rooms, where does liability land when that advice goes wrong? Health law attorney Meghan O’Connor said the answer still isn’t clear, but silence is the riskiest response for providers. The post What Happens When Patients Trust AI Over Their Doctor? appeared first on MedCity News .

Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leaders are adopting AI Gateways as an evolutionary architecture seam. Centralize guardrails, model routing, agent identity, action policy, and semantic audit within a single control plane to prevent costly incidents while keeping core platforms stable. By Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham

Shein is reportedly preparing for a Hong Kong IPO as early as late August, with the listing potentially moving into September, according to its draft prospectus and people familiar with the plan. The fast-fashion ecommerce company has cleared key regulatory and listing hurdles, although the filing did not disclose the planned offering size or price […]

“It’s not an argument with two sides, it’s an argument with 10 sides,” one senior administration official tells WIRED about how US AI policy is being shaped.

Key Senate Democrats are balking at the latest version of a cryptocurrency regulation bill over a White House-approved ethics provision that they argue falls short, complicating the bill's chances of passing in the narrow window before lawmakers leave town next month. Sen. Cynthia Lummis (R-Wyo.), who leads the Senate Banking digital assets subcommittee, unveiled an...

India's finance panel says the Securities Markets Code leaves many cryptocurrencies outside regulation and recommends dedicated legislation. The post Parliamentary finance committee calls for regulatory framework for virtual digital assets appeared first on MEDIANAMA .

More than 20 countries are joining a Trump administration initiative to coordinate next-generation wireless policy, standards and security before 6G reaches consumers.

The Trinity Legal Term ends on Friday 31 July 2026. The summer legal vacation will run until Thursday 1 October 2026 when the Michaelmas Legal Term will begin. On 23 July 2026, the Investigatory Powers Tribunal (Lady Carmichael, Chamberlain J and Mr Shaw KC) handed down judgment in Kearney and BBC v Chief Constable of the Police […]

The rulings suggest that lenders operating without a CBK digital credit provider licence may struggle to enforce loan contracts, raising the commercial risks of lending before obtaining regulatory approval.

This is the central question: should clients expect price cuts from law firms and other legal businesses due to legal AI? Because if there is ...

Svalbard is a stark archipelago of glaciers and coal mines lying 650 kilometers (403 miles) north of Norway’s North Cape, roughly halfway between the Norwegian mainland and the North Pole. It belongs to Norway but is governed under a 1920 treaty that grants nationals of more than 40 signatory states sweeping economic rights while barring Oslo from constructing naval bases or using the archipelago for “warlike” purposes. Far to the south, in the Baltic Sea between the Finnish and Swedish coasts,

Workforce Pell Is Live. How’s It Going for States? Sara Weissman Mon, 07/27/2026 - 03:00 AM As states work to implement the new policy, only a trickle of programs have qualified. But experts say it’s too early to tell Workforce Pell’s full impact. Byline(s) Sara Weissman

The services include a design-on-demand offering and user experience audits that meet stringent procurement and governance requirements.

As organisations prepare for AI-driven ways of working, the quality, governance and life cycle of information have become business-critical considerations.

The Commission publishes new transparency guidelines and confirms the Code of Practice on AI-generated content, as attention turns to the EU's enforcement powers taking effect on 2 August.

Rising expenditure from OpenAI, Anthropic, Google and Microsoft reflects growing battle over federal policy

arXiv:2607.22006v1 Announce Type: new Abstract: Buildings account for roughly 34% of global final energy use and 37% of energy- and process-related CO$_2$ emissions. Stranding regulation now being enacted (New York City Local Law 97, the EU Energy Performance of Buildings Directive recast) presupposes that a building portfolio's carbon intensity can be measured per square metre and compared against a science-based pathway. Whether corporate disclosure is actually fit for that comparison has not,

arXiv:2607.21608v1 Announce Type: cross Abstract: With the EU AI Act entering into force, organizations developing or operating AI systems face new obligations on transparency, risk management, and traceability. For Requirements Engineering (RE), these obligations must be translated into testable, auditable requirements and verifiable evidence. However, many organizations currently lack systematic processes to achieve this. We hypothesize that LLM-based agentic validation tools can support this

arXiv:2607.21799v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly perform commercial tasks that involve retrieving external content such as images and, where appropriate, reproducing that content. LLM agents should comply with the law, including copyright law. Presently, however, we lack adequate frameworks to assess whether they do so in practice. To that end, we introduce \textbf{Copyright-Bench}, a benchmark designed to evaluate \textit{LLM agents' compliance wi

arXiv:2510.01467v2 Announce Type: replace Abstract: The rapid emergence of generative artificial intelligence (AI) and related technologies has the potential to dramatically influence higher education, raising questions about the roles of institutions, educators, and students in a technology-rich future. While existing discourse often emphasizes either the promise and peril of AI or its immediate implementation, this paper advances a third path: a principled framework for guiding the use of AI i

arXiv:2602.09678v3 Announce Type: replace Abstract: Since 1887, administrative law has confronted a problem of institutional cognition. Expert agencies are needed to govern technologically complex systems, but expertise makes agency decisions difficult for courts, Congress, and the public to understand and oversee. Administrative law has responded to this "capability-accountability trap" by requiring records, reason-giving, and transparency, drawn together through procedural review. These device

On Saturday, China’s State Administration for Market Regulation (SAMR) imposed administrative penalties on Ctrip Group for abusing its dominant market position in violation of the country’s Anti-Monopoly Law. The total fine and confiscated illegal gains amounted to RMB 5.179 billion ($760 million). In a statement released the same day, Ctrip said it had received the […]

In this document, the Federal Communications Commission (Commission or FCC) adopted a Second Report and Order that promotes the deployment of submarine cables while strengthening national security interests in connection with their modern capabilities. The Second Report and Order establishes a regulatory regime for licensing owners and/or operators of submarine line terminal equipment (SLTE), including granting a blanket license to certain current and future SLTE owners and/or operators that are

Background : Deep neural networks increasingly power language, vision, and decision systems, yet many deployments require explanations that are faithful, compositional, and governance-ready. Symbolic techniques promise these properties, but the literature mixes post-hoc extraction, knowledge injection, and intrinsically hybrid designs without a unifying view. Objectives : We provide a systematic review and synthesis of symbolic explainable AI (XAI) for deep learning (January 2017– June 2025), or

Forecasting corporate earnings growth is fundamental to investment, credit, and regulatory decision-making. Existing forecasting approaches either rely on restrictive linear assumptions or provide limited interpretability, making them less suitable for high-stakes financial applications. This study proposes a transparent and causally informed framework for predicting future corporate earnings growth from financial statement data. We present TRuE-XAI (Transparent, Rule-based, and Explainable Arti

Corporate boards increasingly bear formal fiduciary responsibility for overseeing AI-driven strategic and sustainability decisions, yet their practical capacity to exercise such oversight substantively remains poorly documented. This study investigates whether a measurable AI governance capability gap exists between board-level and executive-level AI competence and examines the implications of this gap for the integrity of AI-driven ESG reporting. A pilot study (n = 26) of board members and seni

Multi-turn long-horizon planning is critical for foundation model agents, yet how to fundamentally improve it remains unclear. Existing models are trained on uncontrollable and opaque Internet data, making it difficult to identify how planning ability is acquired, shaped, and integrated. To address this challenge, we introduce a unified and controlled multi-turn environment that enables precise control. It allows systematically study long-horizon planning across three stages. (1) Planning abilit

On-policy distillation (OPD) adapts diffusion models by querying a teacher along trajectories generated by the current student, but how it should behave under classifier-free guidance (CFG), a default component of modern diffusion systems, remains poorly understood. Existing OPD methods naturally extend velocity matching to the CFG-composed prediction, directly matching teacher and student guided velocities. We show that this objective is under-identified at the branch level: positive- and negat

The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often considered unstable, though the underlying failure mechanisms have not been systematically investigated. In the State-of-the-Art (SOTA) research, fifteen (model, corpus) configurations were trained using Proximal Policy Optimization (PPO). The experiments included Pythia-70M, 160M, 410M and SmolLM2-135M, 360M on the TinyStories, CNN/DailyMail, and Wikitext-103 corpora. Three reprod

Biomedical image analysis spans diverse modalities and tasks, yet real-world deployment is hindered by severe distribution shifts across scanners, protocols, and patient populations. High-performing models consequently require repeated domain-specific fine-tuning, which is a costly cycle that becomes impractical when labels are scarce or privacy constraints limit data sharing. We propose OPERA (Offline Policy-guided Expert Routing and Adaptation), a multi-agent ensemble framework that addresses

The study, released after months of delays and mounting criticism, was ordered two years ago amid growing concerns about resources for data centers.

On-policy distillation (OPD) trains a student on its own trajectories while a teacher supplies dense token-level likelihoods at student-visited prefixes. These likelihoods are often read locally: agreement appears safe to imitate, whereas disagreement appears to identify an error. We show that both readings are confounded by the outcome of the completed trajectory. We introduce an outcome-resolved diagnostic that crosses pointwise teacher-student divergence with final-answer correctness, separat

Designing effective reward functions for model-free reinforcement learning under non-holonomic constraints remains a persistent challenge, often resulting in severe local minima such as policy paralysis or over-conservative hazard avoidance. In this work, we present a parameterized reward shaping framework featuring coverage-gated alignment feedback, drive-direction switch regularization, and an aligned episode termination mechanism evaluated on an autonomous parallel parking task. Crucially, we

The Nuclear Regulatory Commission is proposing to eliminate a foundational safety principle that has for 50 years minimized the radiation people in the United States are exposed to, and that has been ...

The Trump administration is planning targeted bans on Chinese AI models rather than a blanket ban. After public pressure, OpenAI and Google DeepMind signed an open letter opposing regulation of open-weight models, yet OpenAI and Anthropic continue to lobby privately for those same restrictions amid security concerns and powerful business interests. The article US reportedly favors selective bans over blanket restrictions on Chinese open weight models citing security concerns appeared first on Th