Reducing societal-scale
risks from AI

The Center for AI Safety (CAIS — pronounced 'case') is a San Francisco-based research and field-building nonprofit. We believe that artificial intelligence (AI) has the potential to profoundly benefit the world, provided that we can develop and use it safely.

View our work
Our mission

In contrast to the dramatic progress in AI, many basic problems in AI safety have yet to be solved. Our mission is to reduce societal-scale risks associated with AI by conducting safety research, building the field of AI safety researchers, and advocating for safety standards.

AI Safety Field-Building

Featured

ML Safety Infrastructure

AI and Society Fellowship

Applications close March 24.

A three-month research program that investigates the societal impacts of advanced AI and the institutions and policies that could help societies respond well.

Learn more

Philosophy Fellowship

AI Safety, Ethics, & Society

Training 1000+ future AI safety leaders

The course offers a comprehensive introduction to how current AI systems work, their societal-scale risks, and how to manage them.

Learn more

CAIS Compute Cluster

Compute Cluster

Enabling ML safety research at scale

To support progress and innovation in AI safety, we offer researchers free access to our compute cluster, which can run and train large-scale AI systems.

Learn more
See all work