Artificial intelligence

As a world leader in artificial intelligence with a history of challenging convention, UC Berkeley is shaping the future of this burgeoning field while exploring the larger implications of AI on society.

U.S. News & World Report rankings

#1 in undergraduate data science and computer science programs
#2 in graduate computer science programs
#4 in undergraduate and graduate artificial intelligence programs

Fall 20203 - Berkeley lectures on the status and future of AI

The Center for Information Technology Research in the Interest of Society and the Banatao Institute (CITRIS), the College of Computing, Data Science and Society (CDSS) and Berkeley Artificial Intelligence Research Lab (BAIR) together continue Berkeley’s distinguished speaker series exploring the recent innovations in AI, its broader societal implications and its future potential at Berkeley and beyond. Read more about the lecture series on the CDSS website.

Data Dignity and the Inversion of AI

Date: 09/13/2023 12:00pm
Speaker: Jaron Lanier, Prime Unifying Scientist, Microsoft
Sponsor: CITRIS Research Exchange, CDSS and BAIR

Imitation and Innovation in AI: What Four-year-olds Can Do and AI Can’t (Yet)

Date: 09/27/2023 12:00pm
Speaker: Alison Gopnik, Distinguished Professor of Psychology, UC Berkeley
Sponsor: CITRIS Research Exchange, CDSS and BAIR

AI Agents That Do What We Want: Progress and Open Challenges

Date: 10/04/2023 12:00pm
Speaker: Anca Dragan, Associate Professor of Electrical Engineering and Computer Sciences, UC Berkeley
Sponsor: CITRIS Research Exchange, CDSS and BAIR

Independent Community-rooted AI Research

Date: 10/25/2023 12:00pm
Speaker: Timnit Gebru, Founder and Executive Director, Distributed AI Research Institute
Sponsor: CITRIS Research Exchange, CDSS and BAIR

Past lectures - Spring 2023

During the 2023 spring semester, the primary architect of ChatGPT and leading Berkeley AI faculty presented insights and viewpoints in a series of seven public lectures presented by the CITRIS and the Banatao Institute, BAIR, Electrical Engineering and Computer Sciences (EECS), the Academic Senate and UC Berkeley. Read more about the spring AI lecture series on Berkeley News.

The Sensorimotor Road to Artificial Intelligence

Speaker: Jitendra Malik, Arthur J. Chick Professor of Electrical Engineering & Computer Sciences
Sponsor: Martin Meyerson Berkeley Faculty Research Lectures
Link to view: Watch Malik's lecture

How Not to Destroy the World With AI

Speaker: Stuart Russell, Professor, Electrical Engineering and Computer Sciences, UC Berkeley
Sponsor: CITRIS Research Exchange and BAIR
Link to view: Watch Russell's lecture

Reinforcement Learning with Large Datasets: a Path to Resourceful Autonomous Agents

Speaker: Sergey Levine, Associate Professor, Electrical Engineering and Computer Sciences
Sponsor: CITRIS Research Exchange and BAIR
Link to view: Watch Levine's talk

How AI Fails Us, and How Economics Can Help

Speaker: Mike Jordan, Pehong Chen Distinguished Professor, Electrical Engineering and Computer Sciences, UC Berkeley
Sponsor: CITRIS Research Exchange and BAIR
Link to view: Watch Jordan's lecture

Reinforcement Learning from Human Feedback: Progress and Challenges

Speaker: John Schulman, Research Scientist and cofounder of OpenAI
Sponsor: EECS and BAIR
Event details: Registration
Link to view: Watch Schulman's talk

Generative AI Meets Copyright Law

Speaker: Pam Samuelson, Richard M. Sherman Distinguished Professor of Law, UC Berkeley
Sponsor: CITRIS Research Exchange and BAIR
Link to view: Watch Samuelson's lecture

Exploration vs Exploitation: Different Ways of Pushing AI and Robotics Forward

Speaker: Rod Brooks, MIT Professor Emeritus and Robust.AI
Sponsor: BAIR Robotics Symposium
Link to view: Watch Brooks' talk

“The promise of AI lies in its ability to help us solve some of the biggest challenges facing humanity, from climate change to disease prevention. But we must also recognize that these systems have the potential to exacerbate existing inequalities and biases if not designed and deployed thoughtfully.”
Jennifer Chayes, Dean, College of Computing, Data Science, and Society at UC Berkeley

For more stories and research on AI at Berkeley, visit Berkeley News

Academics and research

AI is a significant focus for many areas around campus. Below are some examples of labs, programs, previous lectures, and more.

  • Berkeley Artificial Intelligence Research Lab (BAIR) | The BAIR Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, control, and robotics.
  • Berkeley Law AI Institute | A multi-day, online executive academy to help lawyers understand AI technology and how companies use it, as well as the risks and ethical issues raised by autonomous systems.
  • Berkeley AI Policy Hub | A collaboration between the UC Berkeley Center for Long-Term Cybersecurity (CLTC) and its AI Security Initiative and the CITRIS Policy Lab, the AI Policy Hub is a multidisciplinary initiative training forward-thinking graduate student researchers to develop effective governance and policy frameworks to guide artificial intelligence, today and into the future.
  • Berkeley [Emergent Space Tensegrities | Energy and Sustainable Technologies | Expert Systems Technologies ] (BEST) Lab | The BEST Lab conducts research at the intersection of cutting-edge frontiers in design research, computational design, sustainability, gender equity, human-machine cognition, supervisory control, soft robotics, sensor fusion, design research and intelligent learning systems.
  • The Center for Information Technology Research in the Interest of Society and the Banatao Institute (CITRIS) | CITRIS and the Banatao Institute is a University of California research center focused on creating IT solutions that generate societal and economic benefits for everyone.
  • Computing, Data Science, and Society (CDSS) | CDSS leverages Berkeley’s preeminence in research and excellence across disciplines to propel data science discovery, education, and impact.
  • Electrical Engineering and Computer Sciences (EECS) | EECS offers one of the strongest research and instructional programs anywhere in the world with an array of cross-disciplinary, team-driven projects.
  • Haas ExecEd: AI Strategies and Applications | Participants in this program learn about AI’s current capabilities and gain an understanding into the variety of ways AI can benefit different business functions.
  • Tech Policy Fellows | Offers scholars and practitioners the opportunity to spend six months to a year as a non-residential fellow at UC Berkeley to conduct research, share expertise and experiences with faculty, staff, and students and develop technical or policy interventions that support responsible technology development and use.
  • Our Better Web | An independent interdisciplinary initiative at Berkeley that brings together leadership from the Schools of Information; Journalism; Law; and Public Policy; the Division of Computing, Data Science, and Society; and the CITRIS Policy Lab. Our Better Web researches and provides guidance on technical and policy strategies to mitigate harms from algorithmic amplification and algorithmic bias online.

AI and the arts

Cal Performances: Illuminations – “Human and Machine”

Generative Art and Deep Learning AI

CITRIS Tech Museum

Artwork on this page

The below image is a UC Berkeley-inspired collage constructed from images generated in Dall-E-2. The prompts used to generate the imagery included specific campus landmarks, such as “the Campanile,” “Sproul Hall,” “Doe Library,” and “Memorial Stadium.”

AI generated image of UC Berkeley