This brief introduces a quantitative framework that allows policymakers to evaluate the behavior of language models to assess what kinds of opinions they reflect.

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

This brief urges policymakers to realign the healthcare market’s incentives in favor of patients, recommending interventions that shape companies’ incentives around the pricing models they deploy.

Using AI to analyze Google Street View images of damaged buildings across 16 states, Stanford researchers found that destroyed buildings in poor areas often remained empty lots for years, while those in wealthy areas were rebuilt bigger and better than before.

This brief reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today.

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.