Center for AI Safety

Our Work Overview

This is an overview of our research and field-building projects.

Philosophy Fellowship


We conduct impactful research on AI safety.

CAIS conducts technical and conceptual research. Our team develops benchmarks and methods designed to improve the safety of existing systems. We prioritize transparency and accessibility, publishing our findings at top conferences and sharing our resources with the global community.

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Philosophy Fellowship

Technical Field-building

We are building the AI safety research field.

CAIS builds infrastructure and pathways into AI safety. We empower researchers with compute resources, funding, and educational materials while organizing workshops and competitions to promote safety research. Our goal is to create a thriving research ecosystem that will drive progress toward safe AI.

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ML Safety Newsletter

We cover topics like deep learning, natural language processing, computer vision, robotics, and more. Our goal is to provide readers with insightful articles, research papers, and interviews with leading experts in the field. Whether you are a researcher, practitioner, or just interested in the latest AI and ML breakthroughs, this newsletter has something to offer.

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