Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
January 14, 2020
1 hr 19 min
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January 14, 2020
Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
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Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
Summary
<p>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.</p>
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<p>Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.</p>
<p>00:00 – Introduction<br />
02:36 – Lessons about human behavior from WWII<br />
08:19 – System 1 and system 2: thinking fast and slow<br />
15:17 – Deep learning<br />
30:01 – How hard is autonomous driving?<br />
35:59 – Explainability in AI and humans<br />
40:08 – Experiencing self and the remembering self<br />
51:58 – Man’s Search for Meaning by Viktor Frankl<br />
54:46 – How much of human behavior can we study in the lab?<br />
57:57 – Collaboration<br />
1:01:09 – Replication crisis in psychology<br />