Summary of The Seven Deadly Sins of AI Predictions

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  • Analytical
  • Concrete Examples
  • Engaging

Recommendation

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.

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:

  1. Misgauging impact – According to futurist Roy Amara, humans tend to “overestimate the effect of a technology in the short run and underestimate the effect in the long run.” The US Global Positioning System (GPS), for example, had a sputtering start in military precision targeting – for which the US government created it – but has since become so crucial a part of everyday life that people probably wouldn’t survive without it. 

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