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

From graduation boos to voter unease: AI anxiety grows in the US

Speakers promoting AI are getting booed at universities, voters are rebelling against data centers, and even AI-friendly Trump administration officials are starting to retreat as an artificial intelligence backlash gathers ...

Machine learning & AI

US to assess new AI models before their release

The US government on Tuesday announced in a policy shift that it will have access to tech giants' new AI models to evaluate them before they are released.

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