Page 7: 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.

Computer Sciences

Six criteria for the reliability of AI

Language models based on artificial intelligence (AI) can answer any question, but not always correctly. It would be helpful for users to know how reliable an AI system is. A team at Ruhr University Bochum and TU Dortmund ...

Business

Trump launches 'Genesis Mission' to speed AI-driven research

President Donald Trump signed an executive order Monday establishing the "Genesis Mission," a national initiative to harness AI for scientific breakthroughs, comparing its scope to the Manhattan Project that produced the ...

Machine learning & AI

UN rights chief warns over generative AI

The UN on Monday warned that generative AI could become "a modern-day Frankenstein's monster," with human rights the first casualty, as powerful tech giants unleash the technology on the world.

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