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Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks
16 references·3 citing·38 second hop
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References

  • 1963An Experimental Application of the DELPHI Method to the Use of Experts6,052 cited
  • 1990Patent Statistics as Economic Indicators: A Survey5,917 cited
  • 2000Sources, Procedures, and Microeconomic Effects of Innovation4,273 cited
  • 2015Why Are There Still So Many Jobs? The History and Future of Workplace Automation3,903 cited
  • 2013The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market3,816 cited
  • 2004Human cognitive abilities a survey of factor-analytic studies3,393 cited
  • 2018The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment3,110 cited
  • 2010Skills, Tasks and Technologies: Implications for Employment and Earnings2,179 cited
  • 2014Explaining Job Polarization: Routine-Biased Technological Change and Offshoring2,106 cited
  • 2002Technical Change, Inequality, and the Labor Market2,100 cited
  • 2017The Growing Importance of Social Skills in the Labor Market*1,723 cited
  • 2009Job Polarization in Europe1,388 cited
  • 2001The Skill Content of Recent Technological Change: An Empirical Exploration1,374 cited
  • 2017What can machine learning do? Workforce implications1,126 cited
  • 1949Consistency of the factorial structures of personality ratings from different sources.

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982 cited
  • 2013Quantifying Trading Behavior in Financial Markets Using Google Trends947 cited
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    • 2024Interests of the future: An integrative review and research agenda for an automated world of work16 cited