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Achieving provably beneficial, human-compatible AI

Achieving provably beneficial, human-compatible AI

FromPractical AI: Machine Learning, Data Science


Achieving provably beneficial, human-compatible AI

FromPractical AI: Machine Learning, Data Science

ratings:
Length:
53 minutes
Released:
Apr 13, 2020
Format:
Podcast episode

Description

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.
Released:
Apr 13, 2020
Format:
Podcast episode

Titles in the series (100)

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!