Page 17: 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

China's overstretched health care looks to AI boom

Throughout her first pregnancy, Wang Yifan had lots of questions, which she usually put to renowned obstetrician Duan Tao—or rather, an AI clone of the top Shanghai-based doctor.

Computer Sciences

Don't panic: 'Humanity's last exam' has begun

When artificial intelligence systems began acing long-standing academic assessments, researchers realized they had a problem: the tests were too easy. Popular evaluations, such as the Massive Multitask Language Understanding ...

Machine learning & AI

Report recommends 'net neutrality for AI'

Innovation in artificial intelligence applications, including the rising tide of AI agents, is based on startups accessing AI foundation models offered by Anthropic, OpenAI, and Google. Each of these companies also competes ...

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