Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon. Here's the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode):
00:00 - Introduction 00:37 - Artificial Intelligence: A Modern Approach 09:11 - Covering the entire field of AI 15:42 - Expert systems and knowledge representation 18:31 - Explainable AI 23:15 - Trust 25:47 - Education - Intro to AI - MOOC 32:43 - Learning to program in 10 years 37:12 - Changing nature of mastery 40:01 - Code review 41:17 - How have you changed as a programmer 43:05 - LISP 47:41 - Python 48:32 - Early days of Google Search 53:24 - What does it take to build human-level intelligence 55:14 - Her 57:00 - Test of intelligence 58:41 - Future threats from AI 1:00:58 - Exciting open problems in AI
Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on iTunes or support it on Patreon. Here's the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode):
00:00 - Introduction 00:37 - Artificial Intelligence: A Modern Approach 09:11 - Covering the entire field of AI 15:42 - Expert systems and knowledge representation 18:31 - Explainable AI 23:15 - Trust 25:47 - Education - Intro to AI - MOOC 32:43 - Learning to program in 10 years 37:12 - Changing nature of mastery 40:01 - Code review 41:17 - How have you changed as a programmer 43:05 - LISP 47:41 - Python 48:32 - Early days of Google Search 53:24 - What does it take to build human-level intelligence 55:14 - Her 57:00 - Test of intelligence 58:41 - Future threats from AI 1:00:58 - Exciting open problems in AI
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