Page 6: 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

'Gambling with our lives': AI researcher quits Anthropic

An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both U.S. companies of "gambling with our lives" in the race to develop AI models capable of self-improvement.

Machine learning & AI

EU probes OpenAI agents' takeover of German site

The European Union on Monday said it was "looking into" an incident revealed last week during which thousands of autonomous AI agents built by OpenAI defied their instructions and took over a German website.

Robotics

Robots protest rampant AI in Poland

Waving flags, "chanting" slogans and marching in circles, around 30 robots took to the streets of Warsaw on Monday to campaign for AI regulation in front of the Polish digital affairs ministry.

Machine learning & AI

Responsible AI must be built in from the start, researchers say

As generative AI becomes more autonomous and deeply integrated into society, researchers need to evaluate who benefits, who may be harmed and how systems can be optimized for social good, according to research from the latest ...

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