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

UK retains early access to test latest US AI models

Britain will retain early access to the latest artificial intelligence models for safety testing, the country's AI minister confirmed Monday, following reports that the White House had restricted the U.K.'s access.

Machine learning & AI

Fired researchers accuse OpenAI of 'chilling' safety efforts

Three former OpenAI security researchers on Thursday accused the ChatGPT maker of firing them for warning about the dangers of artificial intelligence, reigniting the debate over safety at a company whose software has been ...

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