What projects is CAIS working on?

The Center for AI Safety (CAIS)^[1] is a San Francisco-based research non-profit that "focuses on mitigating high-consequence, societal-scale risks posed by AI". It pursues technical research aimed at improving the safety of existing AI systems, as well as multi-disciplinary conceptual research aimed at framing and clarifying problems and approaches within AI safety.

CAIS also works on field-building to help support and expand the AI safety research community. Its field-building projects include:

• The CAIS Compute Cluster, which offers compute for AI safety research

• The CAIS Philosophy Fellowship

• Offering prize incentives for safety-relevant research such as improving ML safety benchmarks, moral uncertainty detection by ML systems, and forecasting by ML systems

• Offering an ML Safety course and scholarships for ML students doing safety-related research