Page 2: 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

South Korea promises free homegrown AI chatbot this year

South Korea plans to launch a free artificial intelligence chatbot service powered by domestic technology this year, Seoul said Tuesday, seeking to reduce reliance on foreign platforms.

Machine learning & AI

China's Xi says AI should not be dominated by one country

Artificial intelligence should not be dominated by a single country, China's President Xi Jinping said Friday at a major technology conference in Shanghai, urging international cooperation on its development.

Machine learning & AI

Australian PM says to enact laws to govern AI

Australia will enact laws to regulate how artificial intelligence data centers use power and water and to protect creative copyright, Prime Minister Anthony Albanese said Wednesday.

Machine learning & AI

Global AI industry falls short on safety, think tank warns

US artificial intelligence lab Anthropic scored the highest in a semiannual safety ranking, but globally the industry fails to combat "existential" threats, according to a report released Tuesday.

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