Our work

Overview

CAIS conducts research, field-building, and advocacy projects to reduce AI risk.

Research

We pursue impactful, technical AI safety research.

Field-Building Projects

CAIS builds infrastructure and new pathways into AI safety.

Compute Cluster

CAIS provides compute resources for AI/ML safety projects.

AI Risk

Resources

CAIS Blog

Deeper-dive examinations of relevant AI safety topics.

The AI Safety Newsletter

Regular briefings on the latest developments in AI safety, policy, and industry.

2023 Impact Report

See highlights and outcomes from CAIS projects in 2023.

Our Work

Field-Building Projects

Resources

Frequently Asked Questions

AI Risk Contact Careers Donate

Careers

Donate

2023 Philosophy Fellowship

Fellows

Mitchell Barrington

Mitchell Barrington is a PhD student at the University of Michigan. He is interested in how to train absolute constraints into AI agents.

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Research:

Absolutist AI

The Oxford House Model provides community based, supportive, and sober living environment.

Center for AI Safety resources :

The Oxford House Model provides community based, supportive, and sober living environment.

Work Summary Frequently Asked Questions

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No technical background required. See past newsletters.

CAIS is an AI safety non-profit. Our mission is to reduce societal-scale risks from artificial intelligence.

Our Work

View All Work Statement on AI Risk Field Building CAIS Research Compute Cluster Philosophy Fellowship CAIS Blog

Our Mission

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