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

AI raises profound moral questions—for all of humanity to answer

Will you be flagged at the border? Will your mortgage application be approved? During wartime, whose neighborhood would a weapon system target? These are moral choices—about harm and fairness—and they used to be made by people.

Business

Sovereignty fears dog AI enthusiasm at France's Vivatech

Europe's biggest tech trade fair VivaTech opened its doors Wednesday in Paris, putting American billionaire Jeff Bezos front and center on its guest list as enthusiasm for generative AI rubs shoulders with anxiety about the ...

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