
Michael Littman
Computer scientist at Brown University, specializing in machine learning, reinforcement learning, and artificial intelligence. Known for his work on AI and engaging teaching style.
Top 3 podcasts with Michael Littman
Ranked by the Snipd community

45 snips
Oct 17, 2025 • 1h 21min
AI in Higher Education with Michael Littman
In this engaging discussion, Michael Littman, a Brown University Professor of Computer Science and Associate Provost for AI, shares insights on the transformative impact of AI in education. He delves into the opportunities and challenges posed by large language models, emphasizing how they can enhance learning when used correctly. Littman underscores the importance of open dialogue in classrooms, the need for ethical considerations, and the potential roles of AI tools in writing and research. His passionate commitment to guiding higher education through these changes shines through.

45 snips
Dec 26, 2020 • 2h 3min
#148 – Charles Isbell and Michael Littman: Machine Learning and Education
Charles Isbell, Dean of the College of Computing at Georgia Tech, and Michael Littman, a computer scientist at Brown University, dive into the intersection of machine learning and education. They discuss the role of AI in sparking student curiosity and the importance of resilience in learning. Their light-hearted banter touches on the contrasting cultures of their universities, and they humorously explore how technology reshapes education post-COVID. Their deep friendship is evident as they reflect on personal growth and mutual influences.

7 snips
Dec 13, 2020 • 2h 2min
#144 – Michael Littman: Reinforcement Learning and the Future of AI
In a captivating conversation, Michael Littman, a computer scientist from Brown University, shares his insights into reinforcement learning and its transformative potential in AI. He delves into the interplay between sci-fi and robotics, touching on humorous robot-human interactions. Michael also discusses the challenges of AI's existential risks, the creative process behind parody songwriting, and the evolution of AI through self-play. His reflections blend technical depth with light-hearted anecdotes, creating a thought-provoking dialogue about the future of technology.


