Posts in SAIS
Workshop on Catastrophic AI Risk

How should we respond to those who aim at building a technology that they acknowledge could be catastrophic? How seriously should we take the societal-scale risks of advanced AI? And, when resources and attention are limited, how should we weigh acting to reduce those risks against targeting more robustly predictable risks from AI systems?

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Sociotechnical AI Safety workshop at Stanford

Recent progress in LLMs has caused an upsurge in public attention to the field of AI safety, and growing research interest in the technical methods that can be used to align LLMs to human values. At this pivotal time, it is crucial to ensure that AI safety is not restricted to a narrowly technical approach, and instead also incorporates a more critical, sociotechnical agenda that considers the broader societal systems of which AI is always a part. This workshop brought together some of the leading practitioners of this approach to crystallize it and support further integration into both research and practice.

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