Pierre Baldi
UC Irvine

Pierre Baldi is a Distinguished Professor of Computer Science at the University of California Irvine and the Founding Director of the AI in Science Institute at UCI. His research focuses on AI and Deep Learning, both in terms of their mathematical foundations and their applications to the natural sciences, particularly in physics, chemistry, and bio-medicine. Examples of application problems include the detection of exotic particles in physics, the prediction of reactions in chemistry, and the analysis of images in bio-medicine. These applications are developed in close collaboration with scientists from the corresponding disciplines. He is currently also studying some of the societal challenges posed by AI, such as the tension between academic and corporate AI research and the quest for AI safety frameworks. He has published extensively, including five books (e.g. Deep Learning in Science, Cambridge University Press, 2021). His honors include the 2023 Daniel Gabor Award of the Intentional Neural Network Society.

Natural Intelligence has provided both the aspiration and the inspiration for Artificial Intelligence. Natural Intelligence safety can provide an inspiration, if not an aspiration, for AI safety. Indeed, all the current approaches for AI safety and alignment, including things like Reinforcement Learning from Human Feedback, constitutional AI, system prompts, and fake detectors, have their parallels in Natural Intelligence safety. Intentionality plays an important role in Natural Intelligence and Natural Intelligence safety, and thus its AI parallels ought to be explored.