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Monday, September 27, 2021

Danel Kahneman vs Deep Learning

From Linkedin, by Ajit Joakar

(You need Linkedin membership to see this introduction) 

Artificial Intelligence #18: Of Daniel Kahneman and Deep Learning

Published on August 24, 2021

Course Director: Artificial Intelligence: Cloud and Edge Implementations - University of Oxford

 Welcome to Artificial Intelligence #18

 This week, I am still on work / holiday in Germany

 In this newsletter, we cover an important topic based on the book thinking fast and slow

 The main thesis of Daniel Kahneman’s landmark book thinking fast and slow is the dichotomy between two modes of thought: "System 1" (fast, instinctive and emotional) and  "System 2" (slower, more deliberative, and more logical).

The ever insightful Kahneman also points out to system 1 v.s. system 2 as one of the challenges of deep learning in an interview with Lex Fridman

 To summarise Daniel Kahneman's view on deep learning.  What is happening in deep learning is more like a system one product. Deep learning matches patterns and anticipate what's going to happen so it's highly predictive

However, deep learning doesn't have the ability to reason, manage temporal causality and represent meaning

Deep learning has made rapid progress but there are many problems where we need ability for reasoning. These shortcomings are also pointed out by Gary Marcus and other critics of AI.These are important limitations to deep learning and AI today.

. Solving these challenges could be a trigger for deep learning to evolve  ... .'

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