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.


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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