Page 3: 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

Don't let AI shape humanity's future: UN chief

The United Nations chief called Monday for a global governance system to shape artificial intelligence for the good of humanity, warning against allowing the technology to "vibe-code" our future.

Machine learning & AI

CIA boss compares cutting-edge AI to nuclear weapons

CIA Director John Ratcliffe on Tuesday compared the capabilities of the most advanced artificial intelligence models to nuclear weapons in a tacit defense of the Trump administration's recent hard line on controlling the ...

Business

Should we fear an AI bubble bust?

Recent swings in tech stocks are reviving fears of an AI bubble—and some experts warn that if it pops, the fallout could be bigger than anything Wall Street has ever seen.

Machine learning & AI

Hollywood powerhouses bring AI fight to Europe

Cate Blanchett brought Hollywood star power to Brussels on Tuesday as she launched a free tool to give people the right to decide how their image can be used by AI firms.

Machine learning & AI

Examining what makes AI trustworthy as its adoption accelerates

As governments, companies and public institutions move from experimenting with AI to deploying it in the real world, questions are becoming increasingly urgent: What does it mean to trust AI? And what does it take for that ...

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