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Lex Fridman Podcast

Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics

Mar 12, 2019
01:01:34
Snipd AI
Leslie Kaelbling, a renowned roboticist and professor at MIT, dives deep into the fascinating world of reinforcement learning and robotics. She shares her journey from philosophy to AI, discussing the iconic Shakey robot and the evolution of machine intelligence. Kaelbling highlights the complexities of symbolic reasoning, the importance of formal methods in robotics, and the challenges of real-world decision-making. She also addresses the competitive landscape of robotics research and the critical need to align AI with human values for a safer future.
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Podcast summary created with Snipd AI

Quick takeaways

  • Leslie Kaelbling emphasized the importance of a philosophical background in navigating complex AI concepts and ethical challenges.
  • The evolution of robotics from Shaky to modern AI highlights a shift toward integrating learning and planning into intelligent systems.

Deep dives

Foundational Influence of Philosophy on AI

Leslie Kaelbling's journey into artificial intelligence (AI) began with a strong foundation in philosophy, particularly through her exploration of logical reasoning, belief, and knowledge. She noted that her undergraduate degree in philosophy at Stanford equipped her with tools relevant to AI, such as symbolic systems and formal semantics. This philosophical grounding allowed her to appreciate and tackle complex concepts within AI, bridging the gap between abstract thought and practical implementation. As a result, she believes that philosophical inquiries remain vital for AI researchers in addressing the ethical and technical challenges posed by intelligent systems.

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