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What Can Machine Learning Do? Workforce Implications
Article

What Can Machine Learning Do? Workforce Implications

Profound change is coming, but roles for humans remain.

Erik Brynjolfsson and Tom Mitchell
Science, 2017
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Editorial Rating

8

Qualities

  • Scientific
  • Overview
  • Concrete Examples

Recommendation

Machine learning (ML) will be a game changer. Soon, humans and technology will be so interconnected that life without intelligent systems will be difficult to imagine. Yet what are the practical uses of ML, and how will it transform the workplace? MIT economist Erik Brynjolfsson and artificial intelligence expert Tom Mitchell from Carnegie Mellon University seek to answer some of these questions in a recent issue of Science magazine. getAbstract recommends their article to professionals, HR specialists and economic policy makers who want to catch a glimpse of the not-so-distant future.  

Take-Aways

  • Machine learning allows systems to improve from experience and make independent decisions.
  • Machine learning will complement the work of highly skilled professionals.
  • Humans will continue to outperform machines at a wide range of complex tasks. 

About the Authors

Erik Brynjolfsson is director of the Center for Digital Business at the MIT Sloan School of Management. Tom Mitchell teaches computer science at Carnegie Mellon University.

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