Vanessa Parli, HAI Director of Research Programs, explains the importance of evaluation methods when it comes to AI benchmarking, noting the significance of assessing traits like "bias, toxicity, truthfulness, and other responsibility aspects."

Stanford HAI Deputy Director Russell Wald discusses California's #1 ranking in America's Top States for AI, which utilizes data from the AI Index, and the role that Stanford HAI plays in shaping AI's future, measuring current metrics, and evaluating labor market impacts.

Stanford HAI Denning Co-Director Fei-Fei Li is nominated for the VentureBeat Women in AI Award, "Responsibility and Ethics of AI: Thoughtfully building AI that leads to a better and more equitable world."

A report released Monday by Stanford University shows just how much potential AI has to disrupt work and life.

AI makers can't agree on how to test whether their models behave responsibly, per Stanford HAI’s latest AI Index.

The Stanford HAI AI Index tracks the generative AI boom, model costs, and responsible AI use.