AI Governance News

Regulations, enforcement actions, research, and opportunities — tracked daily.

Tracking 134 developments from regulators, standards bodies, researchers, and industry groups worldwide.

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ResearchUS2025-05-30

Harvard Law Review Finds OpenAI and Anthropic Governance Structures May Fail to Prevent Unsafe Incentives

A May 2025 article in the Harvard Law Review analyzes the atypical corporate governance structures at OpenAI and Anthropic, including capped-profit models and stakeholder-oriented boards designed to resist commercial pressure. The article argues that these mechanisms may still permit unsafe incentive structures and weak accountability, raising questions about whether fiduciary duties and board independence are sufficient to enforce safety-oriented governance at frontier AI developers.

corporate governance fiduciary duty frontier AI vendors board accountability third-party AI risk

ResearchGlobal2025-05-30

Federated AI Governance Models Demand New Central Controls, Atos Playbook Finds

Atos published a practitioner-oriented AI governance playbook on May 30, 2025, arguing that effective enterprise AI adoption requires a federated model combining local business-unit autonomy with centralized governance controls. The playbook identifies five critical control domains: centralized governance structures, identity and lifecycle management, data governance, agent deployment oversight, and executive review of AI use cases prior to scale-up.

AI governance agent governance enterprise controls federated governance lifecycle management

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