Page 18: 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

Top scientist wants to prevent AI from going rogue

Concerned about the rapid spread of generative AI, a pioneer researcher is developing software to keep tabs on a technology that is increasingly taking over human tasks.

Machine learning & AI

How trustworthy is AI?

Artificial intelligence is everywhere—writing emails, recommending movies and even driving cars—but what about the AI you don't see? Who (or what) is behind the scenes developing the algorithms that go unnoticed? And can ...

Machine learning & AI

Anthropic's Claude AI gets smarter—and mischievious

Anthropic launched its latest Claude generative artificial intelligence (GenAI) models on Thursday, claiming to set new standards for reasoning but also building in safeguards against rogue behavior.

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