Regulation

Apple and the US Department of Justice are in early discussions about settling the 2024 antitrust lawsuit that alleges Apple violated competition law through its iPhone ecosystem, Bloomberg reported on Thursday. Apple has made multiple offers this year to close the case. The discussions are active but there is no guarantee of an agreement, and […] This story continues at The Next Web

Bills this week aim to regulate how children interact with and learn about AI, give America’s farmers more AI equipment and add AI regulation to Medicare claim denials.

Before the saboteur in chief covers it with water. The post Litigants Ask To Check Reflecting Pool For ‘Sabotage’ appeared first on Above the Law .

AWS users woke up Friday to find estimated billing emails showing charges ranging from hundreds of millions to $2.5 trillion. A unit pricing error in the AWS Billing Console’s estimated billing computation subsystem was the cause, Amazon confirmed. One Reddit user whose charges totalled $0.19 last month received an estimated bill of nearly $2.5 billion. […] This story continues at The Next Web

Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post-training remains unclear. We study vanilla Muon in sparse-reward agentic RL through matched single-seed comparisons with AdamW on ALFWorld using Qwen2.5-0.5B-Instruct. Under Group-in-Group Policy Optimization (GiGPO), applying Muon only to hidden weight matrices raises final-window validation success from 0.290 to 0.546 (+88%); high-rate AdamW controls retain no post-update success. The

Advice for lawyers at every stage of their career. The post What Lawyers Really Need To Know About Marketing appeared first on Above the Law .

AI governance increasingly requires judgments about whether an AI system remains adequately trustworthy over time, whether observed changes are tolerable, and how such judgments should be documented in a transparent and contestable way. Yet existing work on AI trustworthiness remains either too high-level to support lifecycle monitoring and reassessment or too narrowly metric-driven to connect with governance needs. We therefore propose a lightweight methodology for auditable trustworthiness lev

New megafirm sends London lawyers home after its air conditioning gives out during a heatwave. The post Things Are Heating Up At This Newly Merged Global Megafirm — Literally appeared first on Above the Law .

REMARKS AS DELIVERED UN Special Envoy Amandeep Singh Gill Calls for Global Cooperation and Capacity-Building on AI Governance at WAIC At WAIC in Shanghai, the United Nations Special Envoy emphasized ...

The executive order establishes a Virtual Asset Council that will bring together key financial, revenue, and security agencies to improve regulatory coordination while supporting responsible innovation.

Transferring policies across domains poses a vital challenge in reinforcement learning, due to the dynamics mismatch between the source and target domains. In this paper, we consider the setting of online dynamics adaptation, where policies are trained in the source domain with sufficient data, while only limited interactions with the target domain are allowed. There are a few existing works that address the dynamics mismatch by employing domain classifiers, value-guided data filtering, or repre

U.S. Defense Secretary Pete Hegseth says the screenings will boost the military’s readiness and resilience, but doctors express caution.

Judge spent two-thirds of her order explaining why fake citations are unacceptable, then shrugs off holding anyone accountable. The post DOJ Cites Fake Case To Keep Man Locked Up By ICE, Judge Declines To Do Anything About It appeared first on Above the Law .

Xenia, or the guest-host relationship, is central to Christopher Nolan's interpretation of 'The Odyssey' in his new adaptation of the ancient Greek text.

Many underlying challenges have remained remarkably similar from one generation to the next. The post Lawyers Should Spend More Time Studying Legal History appeared first on Above the Law .

This paper presents our system for Task 3 of the CLEF 2026 FinMMEval Lab, which requires daily long, flat, or short trading decisions for Bitcoin (BTC) and Tesla (TSLA) using news and historical market data. We formulate the problem as a discrete-action Markov Decision Process and compare four deep reinforcement learning algorithms: Policy Gradient (PG), Proximal Policy Optimization (PPO), Deep Q-Learning (DQL), and Deep Deterministic Policy Gradient (DDPG). The agents use technical indicators,

Brazil may soon become the first country in the Americas to regulate digital platforms before they do anything wrong. Bill 4,675/2025 would let the Administrative Council for Economic Defense (CADE) designate large technology companies as having “systemic relevance” and impose special obligations without first proving anticompetitive conduct or consumer harm. That is a substantial change ... Brazil’s Gatekeeper Bill Gets a Tuneup, Not a Rethink The post Brazil’s Gatekeeper Bill Gets a Tuneup, No

President Donald Trump’s teleprompter operator is on unpaid leave after reports that he used his inside knowledge to make bets about the president’s speeches on the online prediction market Kalshi , the White House said Thursday. The firm’s enforcement chief said Kalshi contacted federal regulators about bets allegedly made about what the president would say in public addresses. White House press secretary Karoline Leavitt said the president is aware of the situation, which she described as “unf

Governments are increasingly mandating that LLM-generated content carry watermarks. The EU AI Act calls for markings that are "sufficiently reliable and robust." California's SB 942 requires disclosure that is "permanent or extraordinarily difficult to remove." Both mandates rest on an untested assumption: that watermark detection yields evidence reliable enough for courts. This paper tests that assumption directly. We evaluate three representative LLM watermarking methods -- KGW, Unigram, and t

The week in appellate news. The post How Appealing Weekly Roundup appeared first on Above the Law .

K&L Gates has launched a significant round of redundancies targeting its “allied professional” workforce, cutting roughly 10% of its global business support staff. First picked up by Above the Law […] The post K&L Gates cuts circa 10% of its business services workforce appeared first on Legal IT Insider .

Over the past decade, responsible AI (RAI) has produced a substantial body of practice for identifying and mitigating the risks AI poses in high-stakes settings. Yet this work has not produced a market that rewards trustworthiness. Firms that invest seriously in safety, fairness, and oversight cannot consistently prove to consumers, regulators, and shareholders that their systems go beyond the bare minimum of compliance. What is missing is a way for society to recognize or compare the difference

The ODRL policy language is emerging as the de-facto standard for policy modelling data access and usage preferences, AI governance policies and data workflows in European dataspaces. The current standard has no mathematical formal semantics to describe how a system should implement policy evaluation. This has resulted in a variety of systems and tools that implement their own interpretation of the language, which limits interoperability and cannot guarantee consistent results. Based on an exist

The Trump administration is considering plans for an independent regulator to vet the safety of artificial intelligence models with industry input, after Silicon Valley leaders complained about the ad ...

From the do-not-pass-go,-do-not-collect-$200 dept The post Writers Guild Of America Also Sues Paramount, Citing Looming Merger Layoff Bloodbath appeared first on Above the Law .

Standard automation ROI misses four categories of systemic risk -- tacit knowledge erosion, resilience reduction, regulatory exposure, and socio-institutional capital degradation -- that affect long-term organizational performance. PHP-AIO (Protocol for Human Preservation in AI-Optimized Organizations) is a five-gate sequential decision protocol with a final composite check that quantifies these unpriced systemic risks at the role level and produces auditable automation decisions. A closed-form

Europe's latest updates to its climate policy aren't great news for the planet.

* Last night, Trump delivered a speech ostensibly about election security, but it was mostly a commercial for the 25th Amendment. [ Election Law Blog ] * Madison Square Garden sues WIRED over article claiming the stadium "used surveillance to track celebrities’ race, gender identity, and sexual orientation." Can you believe a despicable owner who already admits to routinely using face recognition to ban lawyers from events could do such a thing? [ USA Today ] * Trump selling financial firms earl

As usual, part 2 of the weekly deals with speculative, regulatory, political and alignment questions.

Autonomous driving ethics is not only an expert concern, but also a public issue involving risk, responsibility, and governance. However, non-experts often struggle to interpret these issues in concrete incidents, especially when responsibility is distributed across multiple stakeholders. This paper investigates interactive narrative as a public-facing method for eliciting situated ethical reflection on autonomous driving. We present Red Light, Grey Zone, a web-based, multi-perspective interacti

The standard AI competition story has plenty of supposed villains. It just keeps leaving out one of the biggest. Regulators and academics warn that a small group of firms—including Amazon, Anthropic, Google, and OpenAI, with Microsoft and Meta sometimes added—will dominate generative artificial intelligence. Their advantages in computing power, capital, data, and distribution will harden ... The Missing Rival: China and the Limits of AI Antitrust The post The Missing Rival: China and the Limits

Much empirical legal research depends on translating unstructured text into structured variables. In corporate governance research as elsewhere, this translation has traditionally relied on human coding of documents such as charters and bylaws, a process that is costly, difficult to scale, and often opaque. This paper introduces DECODEM, a set of benchmark datasets for evaluating the automated extraction of corporate governance variables from organizational documents. The benchmarks pair randoml

Every UK bank says it’s ‘exploring AI’. But in reality, most mean they’re ‘waiting for permission’. ...

Coding agents can fix a failing example without preserving the domain rule that made it fail, so later generations can repeat the same plausible mistake. We present agentic synthesis against counterexample-supplemented sketches, a repository-native method for systems whose governing policy is discovered during implementation. A human starts with a partial, code-shaped sketch, and a coding agent generates the first implementation. When a concrete failure exposes missing or mistaken policy, an ope

Founded this year by brothers Rohit and Rishabh Kumar, LexiTrove is taking a specialist approach to legal AI and focusing exclusively on UK employment law. The startup is building its […] The post Startup Corner: LexiTrove – AI for the employment matter lifecycle appeared first on Legal IT Insider .

“Whether or not FIFA has gotten this policy exactly right, the need for hydration breaks underscores a new reality,” writes Laura Schifter.

Geospatial datasets support applications from urban planning to climate modeling, yet consistent assessment of FAIR compliance is difficult. Existing evaluators use different rubrics and evidence sources and may fail on JavaScript-rendered pages or repository-specific identifiers. For 50 datasets from 10 repositories, the standard deviation of normalized scores across available tools averages 15.0 percentage points and reaches 30.3 for one dataset. Because these outputs are not equivalent measur

Chinese President Xi Jinping stressed the dual nature of artificial intelligence’s opportunities and challenges, calling for a principle of “openness” and regulations to keep the technology “secure and controllable” in a speech at the country’s flagship annual AI conference. Xi’s first speech to the World AI Conference (WAIC) in Shanghai showed AI is a national strategic priority as China seeks to build greater technological self-reliance amid its tech rivalry with the United States. Earlier...

Generative AI and coding agents are intensifying a central governance tension in open-source software (OSS): they scale contribution generation faster than maintainers can assess risk, evidence, and accountability. Existing responses improve agent-readability and traceability, but project rules must also organize contribution-specific risk, evidence, accountability, and review-gate states. We theorize this organizational arrangement as project-side governability infrastructure. A diagnostic audi