Safe AI Forum (@Safe_AI_Forum) header
Safe AI Forum (@Safe_AI_Forum) profile picture

Trying to foster international cooperation on AI safety. We run @ais_dialogues. Find us at https://teapaw.org/t.co/xPD7DzX6mn.

Joined February 2024
As AI systems become more capable and autonomous, choices about their behaviour become more consequential. Model specs make those choices explicit: what a model should do, what it should refuse, and whose instructions it should follow. 🧵
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We hope this gives developers and researchers around the world a useful starting point to contribute to the conversation. Many thanks to Saad Siddiqui, Nathan Lambert, Robert McCarthy, all our co-authors, and the people at AI companies whose conversations informed this report.
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Private-sector cooperation could play a larger role in international AI safety, complementing governments. Our new report draws on expert interviews and other sensitive industries to examine what companies could do together and how to organise it.
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Biotechnology and telecommunications, amongst other industries, offer precedents across US–China divides. Applying those lessons to AI requires careful scoping and a clear-eyed assessment of technology-transfer risks, commercial incentives and geopolitical trade-offs.
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New paper "Considerations for Frontier AI Governance in China: Adapting Existing Regulatory Infrastructure to Frontier Risk"—a coalition of Chinese and US/UK/EU legal experts, including scholars who led China's AI law proposals, examines China’s regulatory infrastructure.
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China has already built a strong AI regulatory ecosystem—regulations, the algorithm/model registry, standards, etc. Rather than construct a new regime from scratch, this paper explores how China can extend its existing infrastructure to cover frontier-specific risk. 🔗👇
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