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Judea Pearl: Human-Level AI and the Test of Free Will | AI Podcast Clips
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Full episode with Judea Pearl (Dec 2019): https://www.youtube.com/watch?v=pEBI0vF45ic Clips channel (Lex Clips): https://www.youtube.com/lexclips Main channel (Lex Fridman): https://www.youtube.com/lexfridman (more links below) Podcast full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Podcasts clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 Podcast website: https://lexfridman.com/ai Podcast on Apple Podcasts (iTunes): https://apple.co/2lwqZIr Podcast on Spotify: https://spoti.fi/2nEwCF8 Podcast RSS: https://lexfridman.com/category/ai/feed/ Judea Pearl is a professor at UCLA and a winner of the Turing Award, that's generally recognized as the Nobel Prize of computing. He is one of the seminal figures in the field of artificial intelligence, computer science, and statistics. He has developed and championed probabilistic approaches to AI, including Bayesian Networks and profound ideas in causality in general. These ideas are important not just for AI, but to our understanding and practice of science. But in the field of AI, the idea of causality, cause and effect, to many, lies at the core of what is currently missing and what must be developed in order to build truly intelligent systems. For this reason, and many others, his work is worth returning to often. Subscribe to this YouTube channel or connect on: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
Segments Timeline
The Quest for Human-Level Intelligence
Judea Pearl shares his lifelong drive to create human-level intelligence, emphasizing an incremental approach to understanding AI. He discusses the importance of machines being able to answer sophisticated questions and the challenges of testing concepts like free will and responsibility in AI systems.
"I know you're not a futurist but are you excited have you when you look back in your life long for the idea of creating a human level intelligence yeah I'm driven by that all my life I'm doing just by..."
Communication and Learning in AI
Pearl explores how robots could improve their performance through communication, using reward and punishment systems similar to human interactions. He highlights the significance of effective communication in teaching AI systems and the complexities involved in aligning their decision-making processes with human values.
"robots can communicate with reward and Punishment among themselves hitting each other on the wrist and say you shouldn't have done it okay playing better soccer because you can do that what do you mea..."
Causality and Ethical AI
In this segment, Pearl discusses the necessity of understanding causality for aligning AI values with human morals and ethics. He argues that for machines to make ethical decisions, they must empathize and model human experiences, which involves a deep understanding of cause and effect.
"effective means of communicating knowledge if the coach tells you should have passed the ball pink he conveys so much knowledge to supposed to would go down and change your software that's the alterna..."
Blueprints of Consciousness
Pearl delves into the concept of consciousness and free will in machines, suggesting that they need a self-model to understand their abilities and desires. He explains how this self-awareness allows for modifications in behavior, drawing parallels to human consciousness and the ability to reflect on one's actions.
"much easier to say oh you are like me okay therefore I would not hate you and the machine has to imagine it has to try to fake to be human essentially so you can imagine that you're they you're like m..."