All Work Published on Ethics, Equity, Inclusion
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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In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.
In this video, HAI Co-Director Fei-Fei Li discusses ethical development of artificial intelligence and the challenge of establishing effective regulations. She addresses government funding of research, diversity in science, and ensuring child safety as AI advances.
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.
How Stanford HAI Defines Human-Centered AI With Executive Director Russell Wald
In this podcast, HAI Executive Director Russell Wald explores how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.
In this podcast, HAI Executive Director Russell Wald explores how universities, policymakers, and industry must collaborate to keep AI human-centered. Wald shares takeaways from the AI Index, explains how China is narrowing the performance gap, and outlines why academic institutions are vital to ethical AI leadership.
This brief warns that AI systems that infer patients’ race in medical settings could deepen existing healthcare disparities.
This brief warns that AI systems that infer patients’ race in medical settings could deepen existing healthcare disparities.
Pointing to "white-hat" hacking, AI policy experts recommend a new system of third-party reporting and tracking of AI’s flaws.
Pointing to "white-hat" hacking, AI policy experts recommend a new system of third-party reporting and tracking of AI’s flaws.
