California Agencies, UC Berkeley, Stanford to Study Generative AI Impacts
California agencies will collaborate with UC Berkeley and Stanford University to study the impacts of generative AI on the state and its workforce.
Data Science, AI & Robotics News
AI Speaker Series to Explore Discoveries, Societal Impacts and Future
Three University of California and UC Berkeley institutions will host a fall speaker series to inform and engage researchers, students and others in discussions about AI.
UC Berkeley Launches AI Training Program To Address Criminal Justice System Inequalities With Support From $3M NSF Grant
UC Berkeley researchers launch a pioneering interdisciplinary training program that will blend criminal justice and computer science to help reduce systemic inequities in the criminal legal system.
Can ChatGPT Transform Science? Chemists Say Yes.
UC Berkeley experts taught ChatGPT how to quickly create datasets on difficult-to-aggregate research about certain materials that can be used to fight climate change.
ChatGPT Accelerates Chemistry Discovery for Climate Response, Study Shows
UC Berkeley experts taught ChatGPT how to quickly create datasets on difficult-to-aggregate research about certain materials that can be used to fight climate change.
Looking for the Next Big Thing? Look to the Fringes, Deep-learning Model Shows
Berkeley Haas Professor Sameer Srivastava and co-authors have developed a deep learning model that can identify where and when prescient ideas first emerge.
State Funds Development of First-Of-Its-Kind Police Misconduct Database
Berkeley’s Institute for Data Science, Graduate School of Journalism, and partners will collect, curate and make accessible records that a 2019 state law unlocked for the public.
UC Berkeley Cultivates Festive Culture of ‘Free Thinkers’ at AI Hackathon
Dubbed “the Woodstock of Hackathons,” the event was hosted by Berkeley’s premiere startup accelerator, Berkeley SkyDeck, and Cal Hacks, a nonprofit that runs collegiate hackathons.
What Can Psychology Teach Us About AI’s Bias and Misinformation Problem?
To Celeste Kidd the answer is simple: It’s dangerous and perhaps the most concerning aspect of generative AI’s rapid expansion.
New Technique in Error-Prone Quantum Computing Makes Classical Computers Sweat
A new study shows that, even lacking good error correction, there are ways to mitigate errors that could make quantum computers useful today.
What the Bots Are Reading: Berkeley Researchers Investigate the Popular Works Memorized by ChatGPT
In the recently published paper, I School Associate Professor David Bamman reveals much about what is known and remains to be known about the large language model (LLM) fueling ChatGPT.
How AI Fails Us, and How Economics Can Help
Combining the field of economics with statistics and computer science, Michael Jordan’s lecture aims to provide a broader conceptual foundation for emerging real-world artificial intelligence systems.