Peter Stone

Peter Stone is a Professor at the University of Texas at Austin and Chief Scientist at Sony AI, recognized for transformative contributions to artificial intelligence theory and practice. His career bridges academic research and industrial innovation with significant impact on autonomous systems development.

Stone's research fundamentally advances how autonomous agents learn, plan, and collaborate in dynamic environments. His pioneering reinforcement learning algorithms enable robots to acquire skills through experience, while multiagent coordination innovations transform collective agent operations. He consistently integrates AI theory with practical implementations through collaborations with Psychology, Neuroscience, Business, Biology, and Engineering disciplines. Stone also leads critical work in ethical AI through the One Hundred Year Study on Artificial Intelligence (AI100), bringing together humanists, social scientists, and computer scientists to assess societal impacts and opportunities.

His major recognitions include:

• ACM AAAI Allen Newell Award (2024) for contributions to reinforcement learning, multiagent systems, transfer learning, and intelligent robotics
• ACM Fellow (2020) for work in automated planning, learning, and multiagent systems applied to robotics and ecommerce
• ACM Senior Member (2017)

As Sony AI's Chief Scientist, Stone directs research translating theoretical advances into real-world applications. His AI100 leadership has been instrumental in developing proactive frameworks ensuring AI technologies maximize societal benefit while minimizing harm, positioning him at the forefront of responsible AI development.