Summary of How to Teach Artificial Intelligence Some Common Sense

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If AI is supposed to mimic – and one day even surpass – human intelligence, scientists first need to settle the debate about the nature of human cognition. Are humans born as blank slates or with certain cognitive predispositions? As Clive Thompson lays out in an essay for Wired, how computer scientists answer this fundamental question will determine the direction of future AI technology.

In this summary, you will learn

  • Why deep learning may be insufficient as a method to enhance AI’s capabilities, and
  • Why some scientists believe that teaching machines “common sense” should be the next goal of AI developers. 
 

About the Author

Clive Thompson is a columnist for WIRED. 

 

Summary

Deep learning is the driving force behind today’s most popular AI applications, including speech recognition and vehicle driving software. This machine learning method uses artificial neural networks that mirror the brain. Such networks allow AI to process vast quantities of data and start recognizing patterns independently. Some scientists believe that deep learning, on its own, won’t be able to take AI to the next level. Self-taught machines lack the ability to reason and make logical inferences. They also don’t have the “common sense” humans take for granted enabling people to master new situations based on past experiences.


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