Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Launching April 7: The #AIIndex2025 — Stanford HAI’s most comprehensive AI Index report yet. Packed with rigorously vetted data, this report equips leaders, policymakers, and researchers with the insights needed to navigate AI’s global impact. Sign up to receive the full report: https://lnkd.in/gFeDS7vr

Stanford scholars recently introduced an open-source AI agent that learns how to navigate websites by mimicking childhood learning through exploration. “Having closed [proprietary] models that you can chat with and fix your email and paper drafts is one thing, but having a private model do tasks collaboratively with you on browsers while watching your browsing history and your computer use really goes a step further,” said Stanford Computer Science graduate student Shikhar Murty in an interview with Stanford HAI. To address these concerns, Murty and his colleagues, including advisor and Stanford professor?Christopher Manning, have developed?NNetNav. Learn how their new approach could lead to more efficient LLMs, while minimizing privacy concerns: https://lnkd.in/grSS9cGf

This week, Stanford HAI leaders Fei-Fei Li, James Landay, and Russell Wald met with the Prime Minister of Singapore, Lawrence Wong, for a valuable conversation on advancing human-centered AI from innovation to governance and global collaboration.

With AI evolving rapidly and information everywhere, how do you stay ahead? Make a meaningful impact in AI discussions with trusted data and insights. Sign up to receive the Stanford HAI #AIIndex2025 report on April 7: https://lnkd.in/gFeDS7vr

“The path forward isn’t about replacing human judgment with AI, but about using AI as a tool for creating more equitable systems,” says HAI Faculty Affiliate Sanmi Koyejo in his latest op-ed via The Guardian: https://lnkd.in/deRuHqFn

A recent Stanford paper reveals that many popular AI benchmarks are fundamentally flawed: They can be outdated, easily gamed, or inaccurate. “It’s kind of like the Wild West when it comes to benchmarks and actually, [evaluation] design more broadly, which is a huge issue right now. Because as a community, we never really put a focus on how to design them,” says Stanford HAI Graduate Fellow Anka Reuel in an interview with Emerging Tech Brew. Here, Reuel talks about how researchers are rethinking AI benchmarks: https://lnkd.in/g-3XTPKN

"This will be the first criminal case involving generative AI, CSAM law, and the First Amendment to reach a federal appeals court." Stanford HAI Policy Fellow Riana Pfefferkorn writes about a recent ruling on AI-generated child sex abuse material. Read more from Tech Policy Press: https://lnkd.in/gZiW7Tva

“The key thesis underpinning all our work is that nothing can ever replace a teacher. AI should augment, not substitute, their expertise,” says Rizwaan Malik, a Knight-Hennessy Scholar studying education data science at the Stanford University Graduate School of Education. In our latest blog, Malik talks about how?Stanford's education and computer science researchers are leveraging large language models to help teachers create lessons that meet every student's needs effectively. “Teachers spend so much time adapting curricula to their students’ needs, but no one is really asking — how can we support them in that process?” Read more: https://lnkd.in/gUQubxuG Knight-Hennessy Scholars

The Co-Leads and collaborators of the Joint California Policy Working Group on AI Frontier Models released a draft report to develop policy principles that can inform how California approaches the use, assessment, and governance of frontier AI. The working group is seeking public feedback until April 8. Learn more here: https://lnkd.in/gTGGKN_X

Scholars at Stanford HAI, Stanford CRFM, and Stanford RegLab urge policymakers to prioritize four areas of policy in the development of an AI Action Plan. Read more about their response to the White House Office of Science and Technology Policy's request for information: