AI ethics news, research, policy and incidents from 494 sources — source-linked, searchable and current through the latest successfully ingested source item dated 16 August 2026.
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With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture—the…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Imagine coming in to work to learn that a new underling will report to you. The worker is not a person but an AI tool—one that your company nonetheless calls Alex, an…
New hyperscale data centers can't set up shop in New York for up to a year now that Governor Kathy Hochul (D) has signed the nation's first statewide moratorium. But a bill passed by the state legislature that could restrict even more developments still awaits her signature. The order blocks new environmental permits for data […]
When Apple employees interviewed for jobs at OpenAI, the AI startup's hardware head allegedly asked them to show up with something unusual: components they were working on and unreleased product samples. That's according to a blockbuster lawsuit filed by Apple, which accuses OpenAI of stealing confidential documents, spying on hardware prototypes, and tricking one of […]
In response to a public records request, HUD has withheld documents about DOGE’s use of AI—in part by citing a privilege that doesn’t exist.
Amid live coding sessions and Silicon Valley optimism, the UN’s AI for Good summit wrestled with an urgent question: Can global governance catch up before the technology races beyond its control?
The move comes after Simo took significant medical leave. She will stay on as a part-time adviser.
We present a theoretical framework to explain the emergence of inductive reasoning abilities in Transformer language models. While previous works on Transformer learning dynamics have so far been mostly tied to specific tasks, we study a generalized class of inductive tasks that unifies several synthetic tasks known in the literature, including in-context n-grams and multi-hop reasoning. In this class, we theoretically prove that the training dynamics of attention models can be confined to a hig
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
Long-form audio description (AD) requires more than describing visible actions: it must preserve characters, events, relationships, and story context across scenes so that blind and low-vision (BLV) audiences can follow a film. Modern video-language models (VLMs) are effective on short clips, but they often treat each moment independently, producing descriptions that miss who characters are, why events matter, and how the current scene connects to earlier narrative context. We propose StoryTelle
In this paper we present a study of students' mental models of generative AI (GenAI). A student's mental model of GenAI influences not only how they perceive the technology's capabilities and limitations but also how they choose to integrate it into their academic work. Whether they view it as a collaborative partner, a shortcut to complete tasks, or something in between, depends on how they conceptualize its use. This study addresses the following questions: (I) What mental models do undergradu
Artificial general intelligence ultimately requires agents that can reason and act in the physical world. Action models, vision-language-action policies, and world models have advanced this goal, while World Action Models (WAMs) are particularly promising because they connect candidate interventions with predicted consequences. However, progress remains fragmented: models use incompatible action spaces and prediction targets, datasets and tasks follow different conventions, and runtime systems e
There are two standard ways to spend more compute at test time: let a model reason longer, or sample more attempts and keep one. Both share a hidden limit: they are internal. Every extra token comes from the same frozen weights and the same prompt, so neither can tell the model anything it does not already know. We study a third way, interaction: the model proposes an artifact, an external instrument observes how it actually behaves, and the model revises. Each cycle imports a real observation,
We introduce a constrained two-view framework for node prediction that aligns structure-conditioned GNN embeddings with a structure-free feature prior learned by an anchor model. Conventional Graph Neural Networks (GNNs) couple feature transformation and neighborhood aggregation, which renders them vulnerable to topology noise and heterophilous connections. To decouple this dependency, our framework utilizes an independent anchor network to capture intrinsic attribute features via a self-supervi
Parliament's final plenary session before the summer recess will see Members discuss the priorities of the Irish EU Council Presidency alongside key decisions on enlargement, foreign affairs, passenger rights, agriculture, competitiveness, environmental crime and the EU budget.
Special panel report: Child safety online protecting and empowering minors in a digital world Anonymous (not verified) Mon, 07/13/2026 - 11:15 As announced in the 2025 State of the Union address, President von der Leyen set up a special panel of experts to develop a strong and practical European approach to keep children safe online. The panel's co-chairs presented their final report in July 2026. The report highlights the critical challenges children face online and provides recommendations and
BY THE PRESIDENT OF THE UNITED STATES OF AMERICA A PROCLAMATION 1. The United States relies on a strong chemical manufacturing sector to support industries like energy, national defense, agriculture, and health care. These facilities produce essential inputs for critical infrastructure, advanced manufacturing, medical sterilization, semiconductors, and national defense systems. Maintaining a robust domestic chemical […] The post Regulatory Relief for Certain Stationary Sources to Promote America
Call for Tenders: EU Code Week 2027-2030 dumimar Thu, 07/09/2026 - 14:10 Opening: 09 July 2026 Closing: 15 September 2026 This call for tenders aims to expand education around coding, resources, outreach and community support across Europe from 2027 to 2030. Code Week The EU Code Week call for tenders will fund the continuation and upscaling of initiative for the period 2027-2030. Opening : 10 July 2026 Closing : 15 September 2026 EU Code Week is a grassroots initiative suppo
NOMINATIONS SENT TO THE SENATE: Keith Sonderling, of Florida, to be Secretary of Labor. Andrew A. De Mello, of Virginia, to be a Judge of the United States Tax Court for a term of fifteen years. The post Nominations Sent to the Senate appeared first on The White House .
Introduction New research from AI Now demonstrates a critical attack vector in popular AI agents, built by Anthropic and OpenAI, when used for defensive purposes that actually turn the agent against its user. Read the full blog post explaining the proof-of-concept exploit and a policy brief with key takeaways below. The post Double Agents: Defensive AI Agents Magnify Cyber Risks appeared first on AI Now Institute .
Exploit Brief We are revealing a proof-of-concept exploit that enables remote code execution in Anthropic’s Claude Code CLI (with Claude Sonnet 4.6 & 5, Opus 4.8) and OpenAI’s Codex CLI (with GPT-5.5) when employed to defensively assess the security of an open-source or third-party library. Our attack only requires an out-of-the-box configuration of Claude Code […] The post Friendly Fire: Hijacking Defensive Cyber AI Agents for Remote Code Execution appeared first on AI Now Institute .
Topline Summary AI Now’s latest research demonstrates a critical attack vector on popular AI agents, built by Anthropic and OpenAI, when used for defensive purposes that actually turn the agent against its user. Attackers can use these models’ existing weaknesses to execute malicious code on a system deploying an AI agent when used for often-advertised […] The post Policy Brief: Friendly Fire appeared first on AI Now Institute .
Also: Recent benchmark scores suggest rapid capabilities progress
Google and AIM launched ATL Saathi, a Gemini-powered AI tool empowering Indian educators in robotics labs.
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Which obligations apply now, the new post-Omnibus deadlines, and what they mean for anyone building or buying AI.
150 researchers, builders, critics and lawmakers shaping the field — each profile auto-matches their latest work from the daily feed.
12 arguments that define the field — fairness impossibility to killer robots — both sides steel-manned, with the canonical readings.
Every upcoming conference, summit and compliance deadline that matters, in one forward calendar.
From the OECD Principles to frontier-lab safety policies — the 10 documents actually shaping AI governance, summarized.
39 terms — alignment to watermarking — defined precisely enough to argue with.
From Asimov's laws to the compliance era, the moments that made AI ethics a field.