Regulation

A group of economists and tech industry figures has called on policymakers to address the risks posed by artificial intelligence more directly. The signatories outlined their concerns in a public letter published today. The initiative was organized by economics professors Erik Brynjolfsson, Ajay Agrawal, Anton Korinek and Tom Cunningham. More than half of the 200-plus […] The post Prominent economists, tech executives call for new regulatory approach to AI appeared first on SiliconANGLE .

Thinking about issues is a good idea. Making silly arguments that reflect poorly on your intelligence is a less good idea. The post Arguments That Embarrass Only The Advocate appeared first on Above the Law .

The Los Angeles police department did not renew its contract with Flock due to data privacy concerns.

The former FTC commissioner isn't buying the argument that a $44 billion university has no choice but to settle. The post Rebecca Slaughter Has A Message For Yale: Grow A Spine appeared first on Above the Law .

Structured pruning is a hardware-friendly way to compress LLMs, but it is mostly validated on multiple-choice recognition tasks, while the same compressed checkpoints can collapse on the free-form generation that deployment actually requires. Two observations trace this gap. First, greedy pass@1 nearly vanishes after compression, yet pass@k recovers substantially under repeated sampling: useful generations are demoted, not erased. Second, the recoverable regime fails mainly through suffix repeti

If the President really is the entire executive branch, then he can't be on both sides of the 'v.' The post Judge Cites Supreme Court’s Newfound Unitary Executive Theory To Blow Up Trump’s IRS Settlement appeared first on Above the Law .

Evaluating retail conversational agents requires methods beyond lexical-overlap metrics to assess intent alignment, factuality, helpfulness, clarity, tone, and overall response quality. Although LLM-as-a-judge methods provide scalable alternatives to human evaluation, production deployment introduces challenges in governance, reproducibility, cost, schema consistency, traceability, and reliability. We present GenAI Evaluation, a governed, configuration-driven pipeline for large-scale evaluation

Lindsey Graham's death ahead of this week's confirmation hearing leaves a very conspicuous empty chair. The post Well, This Doesn’t Help Todd Blanche appeared first on Above the Law .

Shein Executive Chairman Donald Tang will step down as his mission of taking the company public nears completion, three sources with direct knowledge of the matter said on Monday, retreating to an advisory role after three years as the public face of the global fast-fashion retailer. A Chinese-American billionaire who began his career in banking, Tang has acted as the Western proxy of ‌secretive Shein founder Sky Xu, liaising with politicians and regulators around the world while also...

Recent work in humanoid whole-body control has found success with a simple recipe: retarget human motion to robot kinematic references, then train policies via reinforcement learning (RL) to track them. But how does this recipe transfer to dexterous manipulation? The answer is not obvious, as manipulation involves complex, contact-rich dynamics and requires delicate regulation of contact modes and forces. We present REGRIND, a minimalist retargeting-guided RL pipeline that learns dexterous manip

Which law schools are excluded from the T14 in this version of the rankings? And what happened to Yale? The post A ‘Projection’ Of The 2027 U.S. News Law School Rankings appeared first on Above the Law .

Your tour of all things related to lawyer and judicial ethics, with University of Houston law professor Renee Knake Jefferson. The post Legal Ethics Roundup: Lawyer ‘Negligence’ For Not Using AI, Cameras At SCOTUS, Law School Laptop Ban & More appeared first on Above the Law .

The Senate Banking Committee approved the bill 15-9 in May, with two Democrats joining Republicans to advance the legislation.

Large Language Models (LLMs) are rapidly moving from research settings into the wild, deployed on enterprise infrastructure, personal devices, and edge platforms. While cloud deployments offer scalable compute, concerns over data sovereignty, compliance, latency, and third-party dependence are driving organizations toward edge and on-premise LLMs. This shift introduces new security and privacy challenges: limited compute and memory force aggressive optimizations, including quantization, pruning,

Narmi, a leading digital banking platform provider for banks and credit unions, today announced the upcoming launch of AI Decision Assist, a new agentic AI capability designed to help financial institutions automate and accelerate account opening reviews while still maintaining control, transparency, and compliance.

Deborah Hughes Hallett is Adjunct Professor of Public Policy and Professor of Mathematics at the University of Arizona. She graduated from Cambridge University in England and has taught at Middle East ...

Explainability has emerged as a critical requirement for AI-based systems, particularly in safety-critical and regulated domains. Although prior research has proposed frameworks, patterns, and user-centered approaches to support explainability, there is limited empirical understanding of how existing Requirements Engineering (RE) practices support explainability requirements across the RE lifecycle, especially in an industrial context. This paper reports early findings from an ongoing industry-b

Latham partner Andrew Clubok appears as Senator Potter in Life, Larry, and the Pursuit of Unhappiness. The post Larry David Casts His Biglaw Lawyer In New Show appeared first on Above the Law .

President Trump called on the Senate to pass a cryptocurrency regulation bill Monday in honor of the late Sen. Lindsey Graham (R-S.C.), who unexpectedly died over the weekend. “In honor of Senator Lindsey Graham, a big supporter, the U.S. Senate should pass the Clarity Act,” Trump wrote in a post on Truth Social. “China, and...

Background: Offline reinforcement learning (RL) enables effective policies to be trained from large, previously collected datasets and subsequently improved through limited online interaction. This offline-to-online RL (O2O-RL) paradigm is particularly promising in nonstationary domains where interaction is costly or potentially hazardous. Standard O2O-RL pipelines train multiple candidate policies offline, evaluate them using off-policy or online evaluation, and then deploy and fine-tune the po

RIP to a real one. The post Overstock Loon Patrick Byrne Loses To Himself In Court, Must Pay Hunter Biden appeared first on Above the Law .

Sen. Elizabeth Warren (Mass.), the top Democrat on the Senate Banking Committee, slammed Senate leaders Monday over the lack of ethics restrictions in a cryptocurrency regulation bill that is poised to hit the Senate floor in the coming weeks. Warren, a longtime crypto skeptic, raised concerns about President Trump’s recent financial disclosures, which showed he...

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

The AI revolution is here, and with it a fear that soon it will replace many of us in the workplace. The Australian government is grappling with how to deal with the multi-layered disruption but so far reform has been slow as it weighs up regulation against the claims of investment opportunities an AI boom presents. Could that change on Wednesday when the prime minister delivers a landmark speech addressing the government’s approach to the technology? The chief political correspondent, Dan Jervi

Those of us in the legal profession have a responsibility to sound the alarm about what our clients and the public as a whole put in chatbots The post Surprise, Surprise: More Evidence That What You Say To Your Chatbot Isn’t Always Private appeared first on Above the Law .

A panel on data ownership challenged the definition of "ownership," arguing it must extend beyond simple account control to include structural independence, interoperability, and community governance. Speakers like Zenna Fiscella, Paul Frazee, Boris Mann, and Robin Berjon emphasised the need for shared standards, unbundled platforms, and better tools to support user sovereignty. By Olimpiu Pop

The Paris Commercial Tribunal granted its request for court protection. The post Marine Serre Enters Receivership, Seeks Investor appeared first on Above the Law .

“Should we be looking at Harvey? Legora? Maybe Claude? Should we buy or build? Could we run something open source, and what’s the overhead if we did?” And almost every time, in some form or other: […] The post Orange Rag Legal Tech Clinic: Day one thinking, for law firms that aren’t on day one appeared first on Legal IT Insider .

EPIC, the Consumer Federation of America, and Fairplay submitted comments on Monday in response to the Colorado Department of Law’s request for stakeholder input ahead of potential rulemaking for the state’s recently passed bills on chatbot safety and automated decision-making technology (ADMT) in consequential decisions.

China’s Ministry of Industry and Information Technology (MIIT) has started building a safety benchmark to evaluate artificial intelligence models, as regulators in the United States and Europe strengthen oversight of AI security. The MIIT-led National Industrial Information Security Development Research Centre is now recruiting companies and experts to co-build the benchmark, with applications due on Tuesday, according to a notice published on Monday. The institute said that current frameworks..

Cloud computing companies Google, Microsoft, AWS & Oracle have been brought under finance sector regulation as "critical third parties" as UK banks face outage or cyberattack risks due to their reliance on the big four. The post UK regulates Microsoft, Google, Amazon in finance sector; India sticks to indirect oversight appeared first on MEDIANAMA .

An open source, AI-driven system adopts victim personas to engage with phishing attackers, allowing organizations and law enforcement to gather relevant data on cybercriminal operations.

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

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

Members of the Senate are taking steps to regulate and restrict how the Department of Defense develops and uses AI in its operations. The post Civilian Protection in the Age of Military AI: What Congress’s New Legislative Proposals Reveal About Emerging Safeguards appeared first on Just Security .

Safety alignment in large language models can be fragile under fine-tuning, as even benign task adaptation may increase harmful compliance. Existing defenses mainly follow two directions: they either intervene during or after fine-tuning through retraining or weight modification, which can be costly and may hurt task performance, or they use model-agnostic safety classifiers, which may miss failures specific to a given fine-tuned checkpoint. These limitations motivate a post hoc, model-specific,

This paper presents the mAIEnergy dataset, an open-access, multimodal corpus developed to support Large Language Model (LLM) applications in the energy sector. The dataset integrates approximately 50,000 textual documents, 20,000 images, 25 million numerical time series records, and 2 million geospatial and relational data entries. It includes policy and regulatory texts, scientific articles and news articles, satellite and contextual imagery, electricity system measurements, weather observation

Das Unternehmen von Phoebe Gates steht aktuell heftig in der Kritik. Wie Recherchen von »Bloomberg« ergaben, soll Phia Provisionen für Verkäufe eingestrichen haben, die eigentlich anderen Unternehmen zustanden.

A new scaling law; AI job fears fade; Dementia in retreat++

Earth Observation regression tasks such as building height, canopy height, and above-ground biomass estimation underpin critical applications in urban planning, forest monitoring, and climate policy, where both accuracy and reliability are critical. Yet most deep learning models yield only deterministic predictions, providing no indication of per-pixel reliability. These regression tasks are inherently challenging due to heterogeneous land surfaces, skewed target distributions, sensor noise, and