Skip to content

By playing, you agree to uListen's Terms and Privacy Policy and YouTube's Terms of Service.

Lex Fridman PodcastLex Fridman Podcast

Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9

Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach.

Lex FridmanhostStuart Russellguest
Dec 9, 20181h 26mWatch on YouTube ↗

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

Episode Details

EPISODE INFO

Released
December 9, 2018
Duration
1h 26m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep9-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *PODCAST LINKS:*

*SOCIAL LINKS:*

SPEAKERS

  • Lex Fridman

    host
  • Stuart Russell

    guest

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Stuart Russell, Stuart Russell: Long-Term Future of Artificial Intelligence | Lex Fridman Podcast #9 explores Stuart Russell on Controlling Superhuman AI and Humanity’s Future Choices Stuart Russell and Lex Fridman discuss how modern AI systems reason, plan, and manage uncertainty, using game-playing programs and self-driving cars as core examples. Russell explains meta-reasoning—how AI decides what to think about—as a key ingredient in systems like AlphaGo, while contrasting these narrow successes with the messy, uncertain real world. He then turns to AI safety, arguing that the classic “fixed objective” model is fundamentally dangerous at scale and proposing that AI systems must instead be uncertain about human goals and learn them over time. They explore existential risks, overreliance on AI, regulatory gaps, and philosophical parallels to past technological and moral debates.

RELATED EPISODES

Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

Tuomas Sandholm: Poker and Game Theory | Lex Fridman Podcast #12

Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11

Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs | Lex Fridman Podcast #11

Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10

Eric Schmidt: Google | Lex Fridman Podcast #8

Eric Schmidt: Google | Lex Fridman Podcast #8

Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7

Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7

Guido van Rossum: Python | Lex Fridman Podcast #6

Guido van Rossum: Python | Lex Fridman Podcast #6

Get more out of YouTube videos.

Read along on your phone, search it beside the video, or ask your favorite AI app what was said.