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Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI | Artificial Intelligence Podcast

Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI | Artificial Intelligence Podcast 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.

This conversation was recorded in the summer of 2019.

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EPISODE LINKS:
Thinking Fast and Slow (book):

OUTLINE:
0:00 - Introduction
2:36 - Lessons about human behavior from WWII
8:19 - 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

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