HAI Co-Director Fei-Fei Li is recognized for her commitment to ethical AI and interdisciplinary research, continuing to shape the future of AI development and application.

This article gives an overview to the sectors and business processes that have been affected by AI tool adoption including healthcare, retail, hiring, and education, citing the AI Index's data report on a surge in fundraising for generative AI companies since 2022.

With the release of Meta's Llama 3.1, Director of CRFM and Senior Fellow at Stanford HAI Percy Liang comments on the potential audience shifts that could occur from other commercial AI tools to Llama 3.1.

CRFM Society Lead Rishi Bommasani comments on the lack of clarity on what has changed in the year since major AI companies adopted the White House's set of eight voluntary commitments on how to develop AI in a safe and trustworthy way.

This article discusses the Stanford HAI Congressional Boot Camp on AI and the strategic positioning of universities to help lawmakers understand the power of AI and set guardrails for AI's wide reach.

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."

HAI Deputy Director Russell Wald speaks about the rankings of America's Top States for Business, which relied heavily on the AI Index for data relating to job markets and AI.

Stanford HAI Co-Director James Landay speaks about defining human-centered AI, HAI's accomplishments over the past five years, and broader societal impacts of AI technology.

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.

Nestor Maslej, editor-in-chief of the AI Index, discusses AI vibrancy in foundation models produced by the United States.

Stanford HAI Senior Fellow Daniel E. Ho comments on his research on legal hallucinations in large language models and the viability of using similar models for judicial interpretation.

Stanford HAI Senior Fellow Daniel E. Ho's research explains why retrieval-augmented generation (RAG) based legal research tools still make mistakes and struggle to complete legal researching tasks.

A summary of the HAI AI Index's key takeaways for businesses, including AI's strengths in tasks, profit margins, worker productivity, increased AI regulations, and industry adoption of AI tools.

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."

Nestor Maslej, editor-in-chief of the AI Index, explains key findings in the 2024 AI Index Report, including AI and associations with productivity and quality in workers; business manager's anticipation of job increases and decreases; and insights into AI's impact on organizational hierarchy in the workforce.

Stanford HAI's AI Index highlights the challenges of AI measurement.

Erik Brynjolfsson, Stanford HAI Senior Fellow and Director of the Stanford Digital Economy Lab, reports on AI transformation for jobs in the customer service industry.

This article discusses debates on openness of AI tools, referencing the CRFM and HAI issue brief on Considerations for Governing Open Foundation models and debates that took place at the HAI at Five Conference.