Safe Space
CAIS is a nonprofit organization dedicated to reducing societal-scale risks from artificial intelligence. It conducts technical and conceptual research, builds the AI safety field through infrastructure and education, and advocates for safety standards to ensure AI is developed and used safely.
What is Safe Space?
The Center for AI Safety (CAIS) is a research and field-building nonprofit based in San Francisco. Its mission is to reduce risks from AI by advancing safety research, expanding the AI safety research community, and promoting safety standards. CAIS offers resources like compute access, fellowships, and educational materials to support this work. **Use cases**: Conduct AI safety research, Train future AI safety leaders, Advocate for AI safety policies, Access compute for large-scale ML, Learn about catastrophic AI risks **Key features**: Access AI safety research publications; Use free compute resources for ML safety; Participate in AI safety fellowships; Subscribe to curated AI safety newsletters; Engage in workshops and competitions; Download educational materials on AI risks **Who it's for**: AI researchers, policymakers, and individuals concerned with the societal risks of artificial intelligence. **Credibility**: founder Dan Hendrycks; press: New York Times, Washington Post, The Guardian, Reuters, BBC News
The Center for AI Safety (CAIS) is a research and field-building nonprofit based in San Francisco. Its mission is to reduce risks from AI by advancing safety research, expanding the AI safety research community, and promoting safety standards. CAIS offers resources like compute access, fellowships, and educational materials to support this work.
Key features
- AI safety
- research
- compute cluster
- fellowships
- benchmarks
- advocacy
- Access AI safety research publications
- Use free compute resources for ML safety
- Participate in AI safety fellowships
- Subscribe to curated AI safety newsletters
- Engage in workshops and competitions
- Download educational materials on AI risks
Use cases
- Conduct AI safety research
- Train future AI safety leaders
- Advocate for AI safety policies
- Access compute for large-scale ML
- Learn about catastrophic AI risks
Who is it for
- AI researchers
- policymakers
- individuals concerned with the societal risks of artificial intelligence.