We work together to understand the landscape of AI trust and safety risks, as well as other uses of AI system evaluation.

We identify use cases specific to various important domains (finance, healthcare, education, and others). We work together and with external collaborators to build tools, refine methods, and create benchmarks for detecting and mitigating those risks and performing other kinds of evaluation.

We also help educate the public about responsible AI and the developer community about responsible model and application development.