Stanford Institute for Human-Centered AI

Stanford scholars respond to a federal request for feedback, offering policy recommendations for the regulation of generative AI-enabled medical devices.

Dashboards created by Stanford HAI’s Digital Economy Lab measure how AI adoption is altering employment trends and job growth, along with broader economic indicators.

Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.

It's one of AI policy's hardest unsolved problems. Expert Deb Raji joins Stanford HAI to find answers that move beyond principles and into practice.

This brief introduces a generative AI agent architecture that can simulate the attitudes of more than 1,000 real people in response to major social science survey questions.

This brief examines the conflict-of-interest risks posed by AI agents and calls for imposing a duty of loyalty on developers and deployers.

The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.

How managers introduce and support AI determines whether workers engage with or resist the technology.

Analyzing thousands of human-AI conversations, a new study shows that people are turning to chatbots for increasingly critical tasks – and that productive outcomes depend on how the collaboration unfolds.

One nonprofit uses novel approaches to improve infant mortality, agricultural disaster, and tuberculosis diagnoses.

Stanford HAI covered a discussion in its “Prompt Response” series on whether advanced AI development should be slowed and what society can do instead regarding risk, auditing, and governance.

Stanford HAI described research using an AI pipeline to examine discriminatory statutes across more than 9,600 local jurisdictions and highlighted implications for human-in-the-loop legal review and reform.

Stanford HAI covered findings about how engagement-driven ranking can misalign social-media feeds with users’ stated values and discussed broader implications for AI-mediated information consumption.

Stanford HAI reported on joint work with Stanford RegLab assessing data-broker compliance with California privacy law and discussed the findings and implications for consumer rights and transparency.

Stanford HAI described a grant effort launched in coordination with the Hoover Institution’s Technology Policy Accelerator to fund multidisciplinary research on AI and global security, including topics such as nuclear proliferation, U.S.-China competition, and political influence.