All Work Published on Ethics, Equity, Inclusion
Toward Fairness in Health Care Training Data
This brief highlights the lack of geographic representation in medical-imaging AI training data and calls for nationwide, diversity-focused data-sharing initiatives.
This brief highlights the lack of geographic representation in medical-imaging AI training data and calls for nationwide, diversity-focused data-sharing initiatives.
Stanford researchers highlight the ongoing challenges of language discrimination in academic publishing, revealing that AI tools may not be the solution for non-native speakers.
Stanford researchers highlight the ongoing challenges of language discrimination in academic publishing, revealing that AI tools may not be the solution for non-native speakers.
As part of Stanford's emphasis on advancing responsible AI, Stanford HAI and the Stanford Artificial Intelligence Lab (SAIL) are teaming up to build on their existing legacies on the foundations, development, applications, and study of AI technologies.
As part of Stanford's emphasis on advancing responsible AI, Stanford HAI and the Stanford Artificial Intelligence Lab (SAIL) are teaming up to build on their existing legacies on the foundations, development, applications, and study of AI technologies.
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.
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.
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.
