Scholars develop a framework in collaboration with luxury goods multinational LVMH that lays out how large companies can flexibly deploy principles on the responsible use of AI across business units worldwide.

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.

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

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 examines the debate on algorithmic fairness in clinical predictive algorithms and recommends paths to safer, more equitable healthcare AI.