Regulation

A new executive order essentially gives companies until the start of 2027 to alter their supply of critical materials and minerals. Industry is worried that could be a difficult lift.

The market has had weeks to act. Instead, Biglaw is still waiting for permission. The post Enough Already: Biglaw Needs To Stop Waiting For Cravath appeared first on Above the Law .

Artificial intelligence has found a new way to make policymakers nervous. The latest fight concerns less what AI can do than who may build it, copy it, distribute it, and decide when those activities become a security threat. That fight will help define AI governance, the rules and institutions used to manage AI development, access, ... Open Models, Closed Minds: AI Policy Keeps Regulating the Wrong Thing The post Open Models, Closed Minds: AI Policy Keeps Regulating the Wrong Thing appeared fir

EU competition chief says it is bloc’s ‘duty to defend rule of law’ while delivering ‘strong message’ to search giant

Every element of a Computer Fraud and Abuse Act violation seems to be sitting right there in OpenAI's own announcement. The post OpenAI’s New Model Hacked A Website On Its Own… Humans Would Go To Prison For That appeared first on Above the Law .

Building socially calibrated large language models, which can learn from others without simply yielding to them, requires more than reducing sycophancy as a one-dimensional failure mode. Models must distinguish when to incorporate others' perspectives from when to maintain a well-grounded moral judgment. We study the broader resistance-compliance process governing this distinction. Across three studies, we show that models' judgment revision is structured along three dimensions that parallel cla

Bipartisan lawmakers are seeking to ensure advanced AI models can be quickly shut down following ChatGPT’s automated attack on Hugging Face data networks during internal testing.

On-policy self-distillation (OPSD) is promising as it removes the external teacher required by on-policy distillation (OPD), yet it still needs asymmetric information between teacher and student to ensure that the self-teacher provides a stronger learning signal than the student. Existing methods create this asymmetry either through privileged answers or visual evidence. We ask whether both can be removed, yielding a simpler form of OPSD driven purely by input conditioning. For this purpose, we

While large audio-language models have achieved remarkable progress in auditory perception, they still lag behind text-based large language models in deep logical reasoning, primarily due to the scarcity of high-quality audio reasoning data. To bridge this gap, we propose X$^3$-OPD, a cross-modal on-policy distillation framework that transfers reasoning capabilities from a powerful text teacher to an audio-language student. During training, the student generates reasoning trajectories conditione

Rep. Jay Obernolte, who sponsors legislation to codify the government’s AI standards body, said the organization likely needs close to $100 million annually. The post CAISI would benefit from more resources, OSTP director tells lawmakers appeared first on FedScoop .

The conference, like most law librarians, was low key -- and that's what was so great about it. The post Law Librarians In The City Of The Rock And Roll Hall Of Fame appeared first on Above the Law .

Political legislation affects the well-being and livelihoods of constituents. In the U.S. Congress a representative's voting record on bills and legislation is public. These bills have themes associated with them, such as veterans' affairs, coastal monitoring, agricultural appropriations, etc. A bill on veterans' affairs may affect a constituency differently if they have a high percentage of veterans. In this work, we demonstrate how congressional vote outcomes can be merged with typical geograp

European regulators fined Google $1 billion, alleging the company gives preferential treatment to its own services.

Individuals connected to transnational cyber-scam operations face U.S. visa restrictions under a new policy announced by Secretary of State Marco Rubio.

Large language models (LLMs) and agents are now widely used tools in code development, with data typically sent to third-party cloud-based models. Their adoption in research using personal data is constrained by governance requirements that typically prohibit data transmission to external services. Locally deployable open-weight models offer an alternative since sensitive data never leave the local environment. We introduce an open-source framework for evaluating the efficacy of AI agents powere

Large language models (LLMs) and agents are now widely used tools in code development, with data typically sent to third-party cloud-based models. Their adoption in research using personal data is constrained by governance requirements that typically prohibit data transmission to external services. Locally deployable open-weight models offer an alternative since sensitive data never leave the local environment. We introduce an open-source framework for evaluating the efficacy of AI agents powere

Everyone who has passed the bar, whatever the year, has horror stories about the exam. The post Hell Week Is Coming appeared first on Above the Law .

As AI governance moves from benchmark scores toward auditable oversight, a central question is how reviewers can tell whether an LLM-generated audit report is actually supported by evidence. This paper studies that question in passage-anchored policy audits, where a report must interpret a given policy passage and cite evidence for its claims. We introduce a controlled evaluation framework that holds the passage, rubric, and auditor model fixed while changing only the evidence interface supplied

Welcome to AI Decoded, Fast Company ’s weekly newsletter that breaks down the most important news in the world of AI. I’m Mark Sullivan, a senior writer at Fast Company, covering emerging tech, AI, and tech policy. Sign up to receive this newsletter every week via email here . And if you have comments on this issue and/or ideas for future ones, drop me a line at sullivan@fastcompany.com, and follow me on X @thesullivan .  An OpenAI model escaped its sandbox and hacked into Hugging Face duri

The European Union on Thursday hit hit Google with a fine of 890 million euros ($1 billion) after it said the technology behemoth broke digital antitrust regulations by setting up Google Play and its ubiquitous search engine to corral consumers towards its own services and apps to the detriment of competitors. It was the latest major crackdown on Big Tech by Brussels, which has led the world in reining in some of the world’s largest companies from Silicon Valley to Beijing. It has done so despit

The newest bill is a revised version of a discussion draft the duo released last month.

Microsoft’s legal department is becoming a Harvey customer. The post Microsoft’s Own Legal Department Will Use Harvey, As The Two Companies Deepen Their Alliance appeared first on Above the Law .

Michael Hanna-Butros Meyering, Nevada's chief communications and policy officer, will now help Oregon translate privacy principles into practical decisions and repeatable processes, according to a state announcement.

In long-horizon LLM agent reinforcement learning, weak policies often repeat similar failures, producing uninformative rollout trajectories and limiting effective policy optimization. Existing skill-centric methods improve exploration by optimizing, filtering, or internalizing reusable skills. However, they remain centered on the skills themselves rather than being designed as adaptive training-time support for the evolving policy. To address this, we propose a policy-centric training paradigm t

Large Language Models (LLMs) excel at natural language understanding and generation but remain unreliable for multi-step logical reasoning, especially in safety-critical or compliance-sensitive domains. Recent neuro-symbolic approaches address this gap by coupling neural models with external symbolic engines, yet most integrations are bespoke and lack a standardized interface for tool-augmented agents. This paper presents Euclid-MCP, an open-source MCP server that provides deterministic logical

WayaWaya joins a growing list of African fintechs recruiting experienced banking executives as they scale into regulated financial services.

The European Union fined Google about $1 billion on Thursday for violating its digital competition law, finding the company improperly favored its own products in Google Search and limited developers from directing users to third-party app stores. The EU's executive arm, the European Commission, hit the company with a 460 million euro fine and a...

Lawmakers are preparing to introduce an "AI Kill Switch Act" that would require AI companies to shut down or throttle their systems on orders from the Department of Homeland Security, according to a report from Politico. Reps. Ted Lieu (D-CA) and Nathaniel Moran (R-TX) are expected to introduce the legislation on Thursday. The news of […]

Regulating activities where regulatees use autonomous and agentic AI is challenging. Regulatory assumptions about regulatee knowledge and control no longer hold true; much of that lies elsewhere in the AI supply chain which thus needs to be brought within the scope of regulation. Governance systems for autonomous AI cannot replicate existing governance models, but need a fresh approach. Retrospective supervisory oversight becomes ineffective as a risk management tool, and AI autonomy generates n

Many industries are excited about the possibilities AI opens up for software development. Still, for regulated industries, there’s something extra The post How regulated organizations can increase AI code velocity safely appeared first on The New Stack .

Autonomous AI agents increasingly execute actions, invoke tools, and operate on protected resources with limited human oversight. Existing authentication and authorization mechanisms establish identity and delegate authority, but do not inherently provide cryptographic evidence that a concrete request issued by a specific agent satisfies the applicable policy in a specific execution context. This paper hypothesizes that agent authorization can be formalized as a cryptographically verifiable rela

Artificial intelligence is being deployed across the Global South at a pace matching or exceeding the Global North, yet AI governance has not kept pace, and the gap is far wider in the South. Drawing on a decade of AI audit practice across Latin America, Sub-Saharan Africa, and Asia Pacific (the only fully published second-party audit of a deployed system in the region, Robot Laura in Brazil; two completed but unreleased national audits, of a child-welfare risk model and a public-employment matc

Machine unlearning has emerged as a tool for removing personal data from trained models to comply with recent AI regulations. To evaluate unlearning effectiveness in multimodal large language models (MLLMs), prior works fine-tune models on fictitious identities, simulating unlearning requests on subsets of these IDs, which are typically uniformly distributed. However, in realistic scenarios, people from different demographic groups may request to be unlearned at different frequencies, potentiall

Elon Musk's company filed a lawsuit against a California law that could, even if it doesn’t win, upend AI disclosure requirements nationwide

On Thursday, New Jersey Governor Mikie Sherrill signed into law a ban on surveillance pricing for groceries. The Fair Price Protection Act makes New Jersey the third state to enact legislation curbing surveillance pricing, joining Maryland and Connecticut. The New York Legislature has also sent a surveillance pricing ban to Governor Kathy Hochul’s desk for signature.

Microsoft’s Corporate, External, and Legal Affairs (CELA) team has selected Harvey for use across its legal and compliance operations, in a significant win for the legal AI company. We’re told […] The post Microsoft’s Corporate, External, and Legal Affairs team selects Harvey appeared first on Legal IT Insider .

As large language models (LLMs) become integrated into programming education, learner-facing systems increasingly differ in how that assistance is bounded, enacted, and controlled. These governance decisions are often described implicitly, making it difficult to compare systems in educationally meaningful ways. To address this gap, we conduct a scoping review and qualitative synthesis of 90 peer-reviewed LLM-based programming support systems in CS education. We analyze assistance governance thro

What GAO Found The Economic Growth and Regulatory Paperwork Reduction Act of 1996 (EGRPRA) requires the federal banking agencies to solicit and review public comments on their regulations to identify and eliminate outdated, unnecessary, or unduly burdensome regulations on insured depository institutions, as appropriate. How Federal Banking Agencies Conduct Decennial EGRPRA Reviews Outcomes from the EGRPRA reviews are often difficult to identify, and their connection to subsequent regulatory acti

US scrutiny of Chinese technology has expanded to a new frontier, as lawmakers in Washington advance defence legislation prohibiting the military from deploying Chinese-made humanoid robots. The US House of Representatives has passed the National Defence Authorisation Act (NDAA), an annual military policy bill that incorporates provisions restricting the use of foreign autonomous systems over national security and data privacy concerns. Under Section 163 of the draft bill, the Pentagon would be.

New paper: “ Encryption and Globalization 15 Years Later: End-to-End Encryption and the Third Round of the ‘Going Dark’ Debate “: Abstract : This Article updates and expands on 2012 research on encryption and globalization, analyzing what the authors call “Round 3” of the Going Dark Debate: the current controversies over end-to-end encryption (E2EE). Governments around the world have proposed, and in some cases enacted, laws limiting E2EE for law enforcement and national security purposes. This