Johns Hopkins Data Science and AI Institute Fall 2025 Symposium: AI in Daily Life

Leslie Kaelbling is a professor at the Massachusetts Institute of Technology. She holds a bachelor’s degree in philosophy and a PhD in computer science from Stanford University. Before joining MIT, she was a faculty member at Brown University. Kaelbling was the founding editor-in-chief of the Journal of Machine Learning Research. Her research focuses on building intelligent robots using methods such as learning, planning, and reasoning under uncertainty.

Benjamin C. Lee is a professor of electrical and systems engineering and computer and information science at the University of Pennsylvania. He is also a visiting researcher at Google. Lee’s research focuses on computer architecture – including microprocessors, memory systems and data centers – as well as energy efficiency and sustainability. He uses machine learning and algorithmic economics to improve the design and management of computer systems. He completed postdoctoral research at Stanford University, earned a PhD from Harvard University, and received a bachelor’s degree from the University of California, Berkeley. He has also held visiting positions at Meta AI, Microsoft Research, Intel Labs, and Lawrence Livermore National Laboratory. He is an IEEE Fellow and ACM Distinguished Scientist.

John Tasioulas is a professor of ethics and legal philosophy at the University of Oxford and director of Oxford's Institute for Ethics in AI. He has written extensively on moral, legal, and political philosophy, as well as the philosophy of technology. He has served on AI and tech committees for the European Commission and the Greek government. With Josiah Obser, he is the author of “The Lyceum Project: AI Ethics with Aristotle.”