Summary of The Seven Deadly Sins of AI Predictions

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In this pointed piece for the MIT Technology Review, robotics and artificial intelligence (AI) expert Rodney Brooks outlines the reasons why the most promising and the most frightening AI predictions are far-fetched and provides a scaffold for critical thinking about the future of intelligent machines. getAbstract recommends this engaging read to anyone interested in or concerned about the future of machines and their relationship to humans.

In this summary, you will learn

  • Which seven common fallacies cause misleading predictions about artificial intelligence;
  • Why you can’t compare human learning with machine learning and
  • Which factors really affect the speed and extent of technology adoption.
 

About the Author

Australian roboticist and entrepreneur Rodney Brooks directed the MIT Artificial Intelligence Laboratory and then the MIT Computer Science & Artificial Intelligence Laboratory from 1997 through 2007. 

 

Summary

Most of the time, awe-inspiring as well as fear-inducing prognoses about artificial intelligence (AI) and robotics miss the mark. Seven typical fallacies explain why:

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