Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Stanford HAI co-director Fei-Fei Li says the next frontier in AI lies in advancing spatial intelligence. In this op-ed, she explains how enabling machines to perceive and interact with the world in 3D can unlock human-centered AI applications for robotics, healthcare, education, and beyond. https://econ.st/3ZgDHLo

Delighted to share an op-ed I wrote with Tali Sharot in?Time?magazine today:?"Why the Internet Needs Content Labels." In our piece, we argue that just as food labels guide us to healthier choices for our bodies, content labels could guide us toward healthier digital habits for our minds. Our research, published today in?Nature Human Behavior, reveals a causal feedback loop between mental health and online behavior: individuals with poorer mental health tend to seek out negative content, which worsens their symptoms, reinforcing the cycle. To break this cycle, we tested an intervention where participants were presented with emotional “content labels” for webpages before browsing. These labels reduced the consumption of negative content and significantly improved participants' mood. Building on this, we developed a browser plugin—Digital Diet—that labels websites based on their emotional tone, practicality, and knowledge value, helping users make more informed choices online and improve their mental health. ?? Read the op-ed here:?https://lnkd.in/eC-t_9E9 ?? Link to the empirical article in?Nature Human Behavior:?https://lnkd.in/e7QzRXfd ??? Sign up to try the Digital Diet tool:?https://lnkd.in/eqVRsDtv I’d love to hear your thoughts—how could content labels change the way we interact with the digital world? #DigitalDiet #MentalHealth #DigitalHealth #AI #ContentLabels

It's really fulfilling to be part of this amazing interdisciplinary team! Thank you Stanford Institute for Human-Centered Artificial Intelligence (HAI)?for fostering an environment that enables such a dynamic exchange of ideas! Meet us here:?https://lnkd.in/dJ3njTV5 #StanfodHAI?#AIResearch?#HealthcareAI?#AIforGood

Last week, scholars at Stanford Ethics and Stanford HAI issued a response to a request for information by the National Science Foundation (NSF) on the CHIPS and Science Act. Read their recommendations for incorporating ethical reflection into research review processes here: https://lnkd.in/gS9kgnk9

While most studies on AI bias focus on technical aspects, this Stanford research highlights the social impact of AI tools, urging developers to center social contexts and design tools that are culturally responsive. https://lnkd.in/gGvDfpac

“We stand at a technological, economic, and political crossroads that demand creative rebuilding or reinvention of institutions,” says Stanford Digital Economy Lab Director Erik Brynjolfsson. Read this modern-day Federalist Papers designed to frame and inform the discourse about AI and governance: https://lnkd.in/gJ2Qa5Vg

The AI Index just released this year’s Global AI Vibrancy Tool, which offers policymakers, industry leaders, researchers, and the public a comprehensive and quantitative way to measure the strength of national AI ecosystems. The United States takes the top spot in the 2023 rankings. Read more insights from the paper: https://lnkd.in/g2NRpTQn

It’s no surprise that negative content tends to go viral, but the growing shift toward negativity even among balanced news sources is concerning. What can we do about it? https://lnkd.in/gTsH_mE5

Congress has a unique window over the next 6 weeks to pass the CREATE AI Act, which will provide computing resources for AI research to America's colleges and universities. Now is the time for Congress to act and help establish a National AI Research Resource (NAIRR) which will fundamentally transform AI research for the better. Tell your Representative and Senators to pass the CREATE AI Act before the end of the 118th Congress!

Stanford University, along with 77 organizations spanning industry, academia, and civil society, is urging Congress to pass the CREATE AI Act. Why does this matter? The CREATE AI Act represents a bipartisan effort to establish the?National AI Research Resource (NAIRR), a critical infrastructure to ensure equitable access to the computational power and data needed to drive AI innovation. Passing this legislation will help advance U.S. AI innovation and global competitiveness, support diverse and inclusive AI research, enable AI breakthroughs across fields, and develop the AI workforce of the future. In this piece, Stanford HAI deputy director Russell Wald explains the bill’s status, what it will take to pass it, and what will happen if it gets delayed. https://lnkd.in/gWSFtEeP