Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
16 Jan 2024
How can a robot self-assess whether it has received enough demonstrations from an expert to ensure a desired level of performance? The authors of this paper examine the problem of determining demonstration sufficiency.
AI heralds a ‘fourth industrial revolution.’ Why isn’t America regulating it?
11 Dec 2023
The current approach to AI is a reflection of enormous power imbalances between the tech giants and national governments. What happens when a globe-spanning corporation becomes so powerful that even nations must answer to it?”
CS Student at UC Berkeley Develops Tech to Combat Social Media Harms
06 Nov 2023
Sana Pandey, who is an intern at CHAI, was featured on CBS News in the Bay Area for her work in recommender system alignment. She discussed what drove her to enter the world of recommender systems and her ongoing work with Jonathan Stray on integrating alternatives to engagement into optimization frameworks. The interview also featured Mark Nitzberg who explained the real-world applications and relevance of the project.
Prominent AI Scientists from China and the West Propose Joint Strategy to Mitigate Risks from AI
31 Oct 2023
Ahead of the highly anticipated AI Safety Summit, leading AI scientists from the US, the PRC, the UK and other countries agreed on the importance of global cooperation and jointly called for research and policies to prevent unacceptable risks from advanced AI.