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Achieving provably beneficial, human-compatible AI (Practical AI #85)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Apr 13, 2020
Episode Duration |: 00:52:51

Description
Content Encoded

AI legend Stuart Russell, the Berkeley professor who leads the *Center for Human-Compatible AI*, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of *Human Compatible*, and the upcoming 4th edition of his perennial classic *Artificial Intelligence: A Modern Approach*, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.

AI legend Stuart Russell, the Berkeley professor who leads the Center for Human-Compatible AI, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of Human Compatible, and the upcoming 4th edition of his perennial classic Artificial Intelligence: A Modern Approach, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.

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Featuring:

Stuart Russell – LinkedIn, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website

Show Notes:

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