San Francisco Alignment Workshop 2027

The San Francisco Alignment Workshop will convene top machine learning researchers and practitioners from industry, academia, and government prior to ICLR. This is an application-based and ticketed event.

The goal of the Alignment Workshop series is to enable participants to better understand the technical and societal risks associated with advanced AI systems, and to identify promising directions for research and coordination.

Speakers will continue to be announced as the event approaches.

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Core topics typically include model evaluations, interpretability, robustness, scalable oversight, and AI governance. The program will feature expert presentations, breakout discussions, and opportunities for one-on-one conversations. A dedicated track will also provide an entry point for participants looking to deepen their understanding of AI safety and alignment.

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