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 HAI's 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index highlights key developments over the past year, including major gains in model performance, record levels of private investment, new regulatory action, and growing real-world adoption.
The 2025 AI Index highlights key developments over the past year, including major gains in model performance, record levels of private investment, new regulatory action, and growing real-world adoption.
Stanford HAI's 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
"The AI Index equips policymakers, researchers, and the public with the data they need to make informed decisions — and to ensure AI is developed with human-centered values at its core," says Russell Wald, Executive Director of Stanford HAI and Steering Committee member of the AI Index.
"The AI Index equips policymakers, researchers, and the public with the data they need to make informed decisions — and to ensure AI is developed with human-centered values at its core," says Russell Wald, Executive Director of Stanford HAI and Steering Committee member of the AI Index.
After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.
After 23andMe announced that it’s headed to bankruptcy court, it’s unclear what happens to the mass of sensitive genetic data that it holds. Jen King, Policy Fellow at HAI comments on where this data could end up and be used for.
AI presents an opportunity to reflect on society’s biases, but we need to pay close attention to both technical and social considerations, says Stanford HAI Faculty Affiliate Sanmi Koyejo.
AI presents an opportunity to reflect on society’s biases, but we need to pay close attention to both technical and social considerations, says Stanford HAI Faculty Affiliate Sanmi Koyejo.
Stanford HAI researchers create eight new AI benchmarks that could help developers reduce bias in AI models, potentially making them fairer and less likely to case harm.
Stanford HAI researchers create eight new AI benchmarks that could help developers reduce bias in AI models, potentially making them fairer and less likely to case harm.