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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How Congress Could Stifle The Onslaught Of AI-Generated Child Sexual Abuse Material
HAI Policy Fellow Riana Pfefferkorn advises on ways in which the United States Congress could move the needle on model safety regarding AI-generated CSAM.
HAI Policy Fellow Riana Pfefferkorn advises on ways in which the United States Congress could move the needle on model safety regarding AI-generated CSAM.
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.
Tools that enable teens to create deepfake nude images of each other are compromising child safety, and parents must get involved.
Tools that enable teens to create deepfake nude images of each other are compromising child safety, and parents must get involved.
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.
When AI Imagines a Tree: How Your Chatbot’s Worldview Shapes Your Thinking
A new study on generative AI argues that addressing biases requires a deeper exploration of ontological assumptions, challenging the way we define fundamental concepts like humanity and connection.
A new study on generative AI argues that addressing biases requires a deeper exploration of ontological assumptions, challenging the way we define fundamental concepts like humanity and connection.
