Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI

Melanie Mitchell is a professor of computer science at Portland
State University and an external professor at Santa Fe Institute.
She has worked on and written about artificial intelligence from
fascinating perspectives including adaptive complex systems,
genetic algorithms, and the Copycat cognitive architecture which
places the process of analogy making at the core of human
cognition. From her doctoral work with her advisors Douglas
Hofstadter and John Holland to today, she has contributed a lot of
important ideas to the field of AI, including her recent book,
simply called Artificial Intelligence: A Guide for Thinking Humans.
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 Apple Podcasts, follow on
Spotify, or support it on Patreon. This episode is presented by
Cash App. Download it (App Store, Google Play), use code
"LexPodcast".  Episode Links: AI: A Guide for Thinking Humans
(book) Here's the outline of the episode. On some podcast players
you should be able to click the timestamp to jump to that time.
00:00 - Introduction 02:33 - The term "artificial intelligence"
06:30 - Line between weak and strong AI 12:46 - Why have people
dreamed of creating AI? 15:24 - Complex systems and intelligence
18:38 - Why are we bad at predicting the future with regard to AI?
22:05 - Are fundamental breakthroughs in AI needed? 25:13 -
Different AI communities 31:28 - Copycat cognitive architecture
36:51 - Concepts and analogies 55:33 - Deep learning and the
formation of concepts 1:09:07 - Autonomous vehicles 1:20:21 -
Embodied AI and emotion 1:25:01 - Fear of superintelligent AI
1:36:14 - Good test for intelligence 1:38:09 - What is complexity?
1:43:09 - Santa Fe Institute 1:47:34 - Douglas Hofstadter 1:49:42 -
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