HAI In the News

Percy Liang, director of Stanford HAI’s Center for Research on Foundation Models, comments on the power and risks of large-scale AI models such as Google’s LaMDA.

HAI seed grant recipients Sadasivan Shankar and Richard N. Zare discuss how machine learning is being used to find new pharmaceutical compounds, holding great promise for the future, but also great peril.

Foundation models and ethics were an area of focus at the HAI Spring Conference, with HAI Associate Director Rob Reich and CRFM Director Percy Liang featured in this article.

HAI's Spring Conference addressed advances and challenges related to algorithmic recourse, building a responsible data economy, privacy and regulatory frameworks, and tackling overarching issues of bias.

Private companies, not universities, are pioneering artificial intelligence research and reaping almost all the gains.

AI Index Co-Chair Jack Clark explains how AI costs are falling while research on ethics increases.

Graphs pulled from the  2022 AI Index cover jobs, investments, ethics, and more.

In this Q&A, HAI Policy Director Russell Wald talks about the impact of Chinese AI regulations on businesses, as well as how they're unlikely to affect the government's own use of AI when it comes to surveilling its citizens.

A new report from Stanford HAI describes the rapid maturation of the AI industry in 2021, but also contains some sobering news about AI bias.

VentureBeat reports on the top-level findings of the 2022 AI Index report from Stanford HAI.

At a time when AI is becoming accessible to everyone, the Stanford Institute for Human-Centered Artificial Intelligence put together a sweeping 2022 report analyzing the ins and outs of the growing field.

The article cites the October 2021 white paper from HAI Indicating that the government-funded research hub should focus on the needs of academic and nonprofit researchers.