All Work Published on Ethics, Equity, Inclusion
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.
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 reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today.
This brief reviews the history of algorithm auditing, describes its current state, and offers best practices for conducting algorithm audits today.
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.
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.
Promoting Algorithmic Fairness in Clinical Risk Prediction
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This brief examines the debate on algorithmic fairness in clinical predictive algorithms and recommends paths to safer, more equitable healthcare AI.
This brief examines the debate on algorithmic fairness in clinical predictive algorithms and recommends paths to safer, more equitable healthcare AI.
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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.
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.
Stanford scholars respond to a federal RFI regarding public and private sector uses of biometric technologies, proposing six principles for the responsible use of biometrics and AI.
Stanford scholars respond to a federal RFI regarding public and private sector uses of biometric technologies, proposing six principles for the responsible use of biometrics and AI.
