CAIS.ai: Advancing AI Safety for a Secure Future

CAIS.ai, the Center for AI Safety, is a leading San Francisco-based nonprofit dedicated to mitigating large-scale risks posed by artificial intelligence through rigorous technical and ethical research. The platform supports the global AI safety community by offering free access to a powerful compute cluster, publishing cutting-edge research in top machine learning conferences, and releasing datasets and code openly to foster transparency and collaboration. It also runs the Philosophy Fellowship, a deep-dive seven-month research program on AI safety and its societal impact, and provides the AI Safety, Ethics, & Society course for those seeking to deepen their understanding of responsible AI development. Regular updates are shared via the AI Safety Newsletter, and annual Impact Reports highlight progress and influence in the field. With its mission-driven approach, CAIS.ai serves as a vital resource for researchers, policymakers, and educators committed to building safer, more ethical AI systems.

Key Features:

• Technical and conceptual AI safety research
• Free access to a high-performance compute cluster for safety-focused ML research
• Public release of datasets and open-source code
• Philosophy Fellowship: a seven-month research program on AI safety and societal implications
• AI Safety, Ethics, & Society course with upcoming sessions
• AI Safety Newsletter for ongoing updates on policy, safety, and industry trends
• Annual Impact Reports (2023 and 2024 available)
• Field-building initiatives including funding, research infrastructure, and educational resources

Pricing: CAIS.ai offers a freemium model, with core research, tools, and educational content provided free of charge to support public good and open collaboration.

Conclusion: CAIS.ai is an essential, mission-driven platform for advancing responsible AI development, providing invaluable free resources, research, and educational opportunities to help safeguard society from emerging AI risks.