ai-governance

Nature, Published online: 12 August 2026; doi:10.1038/s41586-026-10805-z A framework comprising four dimensions—autonomy, efficacy, goal complexity and generality—is proposed for characterizing AI agents, supporting the construction of agentic profiles for the effective governance of different AI agents.

Published on August 11, 2026 8:58 AM GMT TL;DR The Long-Term Future Fund is closing down, and EA Funds is launching the Transformative AI Fund with a new full-time team. The fund's primary focus is technical AI safety and AI governance (including post-AGI governance), as well as supporting fields such as field-building and forecasting. We'll also consider non-GCR implications of transformative AI…

Senior business leaders across sectors face increasing risks because many organizations lack effective strategies to ensure transparency and regulatory accountability in artificial intelligence (AI) governance. This problem is critical for industry leaders who rely on transparent and compliant AI systems to protect consumers and maintain operational stability. Grounded in the ethical usage of AI …

Your privacy expertise has never been more relevant. It has also never been more incomplete for what your role is now asking of you.68% of privacy professionals now handle AI governance responsibilities alongside traditional compliance work, and that figure is rising as AI deployment accelerates and regulators begin connecting AI obligations explicitly to existing data […] The post AAISM for Priv…

Published on July 3, 2026 2:45 PM GMT This year, I want to speak to people involved in understanding AI governance AI in China AI Governance in China US-China AI governance I live on the West Coast, cannot take additional time off, and so if the two felt equal in quality I'd go to the one that takes less time to get to. But if what I can learn is much greater at NYC it's probably worth ~6 hours e…

The King Solomon Protocol™ proposes a framework for human supervised arbitration in multi model artificial intelligence systems operating within institutional environments. The paper argues that contradictions between AI systems generate what it terms interpretive debt, a burden frequently transferred to end users who must reconcile conflicting outputs without sufficient authority or context. Dra…

AI governance auditing is the systematic evaluation of how AI systems are developed, deployed, and controlled in practice, not just on paper. It produces the evidence trail that proves which model made a decision, who approved its deployment, and whether a human reviewed the output. That evidence is increasingly hard to produce. Employees, copilots, and ... Read more » The post What is AI governa…

Enterprise AI now runs through employee workflows, customer-facing applications, and autonomous agents, and security teams are being asked to govern much of it at once. Most existing frameworks were built for structured data and predictable user actions, not conversational prompts and agent tool calls. For CISOs, compliance officers, and AI leaders, the stakes are concrete: ... Read more » The po…

CSET’s Lauren A. Kahn and CFR's Michael C. Horowitz shared their expert analysis in an op-ed published by AI Frontiers. In their piece, they examine the growing calls to regulate artificial intelligence in ways similar to nuclear technology. The post Nuclear Non-Proliferation Is the Wrong Framework for AI Governance appeared first on Center for Security and Emerging Technology .

CSET’s Helen Toner shared her expert insights in an article published by Foreign Policy. The article explores the impact of renewed U.S. export restrictions on Nvidia and the broader implications for U.S.-China competition in artificial intelligence (AI). Nvidia announced it expects a $5.5 billion financial hit due to new licensing requirements for selling its H20 chips to China. The post Is It T…

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