Research news on AI governance

AI governance addresses the design, implementation, and evaluation of legal, institutional, and procedural mechanisms that guide the development and deployment of artificial intelligence systems. It encompasses national and international regulatory frameworks, management-based regulation, and dynamic governance models aimed at mitigating societal and existential risks. The domain integrates AI ethics, safety standards, red-teaming, and accountability tools, and involves multistakeholder participation in setting global norms, establishing red lines, and aligning AI infrastructure and literacy initiatives with evidence-based public policy.

Machine learning & AI

Trump touts AI boss pledge to self-regulate

U.S. President Donald Trump on Tuesday said the tech executives gathered at the White House to discuss regulating AI had signed a "morally binding" commitment to build adequate safeguards for the fast-moving technology.

Machine learning & AI

Anthropic warns of 'existential' AI risks in IPO filing: Report

U.S. artificial intelligence developer Anthropic has warned investors of potential "existential risks to humanity" in the prospectus for its highly anticipated initial public offering, The Financial Times reported Tuesday.

Machine learning & AI

AI startup urges optimism from Europe despite safety fears

Europe needs to view artificial intelligence with more optimism—despite growing warnings about its dangers—or risk falling further behind, the head of a leading European AI startup warned.

Machine learning & AI

At UN, tech chiefs urge caution in AI development

Leaders of major AI firms told the U.N. Security Council on Wednesday that the technology calls for heightened vigilance, with Anthropic's CEO pledging to slow down where needed to ensure the safety of new releases.

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