Page 9: 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.

Business

Why fears of a trillion-dollar AI bubble are growing

For almost as long as the artificial intelligence boom has been in full swing, there have been warnings of a speculative bubble that could rival the dot-com craze of the late 1990s that ended in a spectacular crash and a ...

Security

Q&A: Can the tech behind crypto help align AI with human values?

As people increasingly use artificial intelligence (AI) in various areas of life to either save time or improve performance, the influence of AI systems grows—as does the risk of untrustworthy results in high-stakes decision-making, ...

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