Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI

Daniel Kahneman is winner of the Nobel Prize in economics for his
integration of economic science with the psychology of human
behavior, judgment and decision-making. He is the author of the
popular book "Thinking, Fast and Slow" that summarizes in an
accessible way his research of several decades, often in
collaboration with Amos Tversky, on cognitive biases, prospect
theory, and happiness. The central thesis of this work is a
dichotomy between two modes of thought: "System 1" is fast,
instinctive and emotional; "System 2" is slower, more deliberative,
and more logical. The book delineates cognitive biases associated
with each type of thinking. This conversation is part of the
Artificial Intelligence podcast. If you would like to get more
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episode is presented by Cash App. Download it (App Store, Google
Play), use code "LexPodcast".  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 02:36 -
Lessons about human behavior from WWII 08:19 - System 1 and system
2: thinking fast and slow 15:17 - Deep learning 30:01 - How hard is
autonomous driving? 35:59 - Explainability in AI and humans 40:08 -
Experiencing self and the remembering self 51:58 - Man's Search for
Meaning by Viktor Frankl 54:46 - How much of human behavior can we
study in the lab? 57:57 - Collaboration 1:01:09 - Replication
crisis in psychology 1:09:28 - Disagreements and controversies in
psychology 1:13:01 - Test for AGI 1:16:17 - Meaning of life