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Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines

Author

Listed:
  • Bruun Edvard P.G.

    (Arup Canada Inc., Building Structures, 2 Bloor Street EastToronto, Canada)

  • Duka Alban

    (Goethe-Universität, Graduate School of Economics, Frankfurt am Main, Germany)

Abstract

Artificial intelligence is rapidly entering our daily lives in the form of driverless cars, automated online assistants and virtual reality experiences. In so doing, AI has already substituted human employment in areas that were previously thought to be uncomputerizable. Based on current trends, the technological displacement of labor is predicted to be significant in the future – if left unchecked this will lead to catastrophic societal unemployment levels. This paper presents a means to mitigate future technological unemployment through the introduction of a Basic Income scheme, accompanied by reforms in school curricula and retraining programs. Our proposal argues that such a scheme can be funded by a special tax on those industries that make use of robotic labour; it includes a practical roadmap that would see a government take this proposal from the conceptual phase and implement it nationwide in the span of one decade.

Suggested Citation

  • Bruun Edvard P.G. & Duka Alban, 2018. "Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines," Basic Income Studies, De Gruyter, vol. 13(2), pages 1-15, December.
    • Handle: RePEc:bpj:bistud:v:13:y:2018:i:2:p:15:n:6
    DOI: 10.1515/bis-2018-0018
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    References listed on IDEAS

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    1. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    2. Dorothy S. Brady, 1966. "Output, Employment, and Productivity in the United States after 1800," NBER Books, National Bureau of Economic Research, Inc, number brad66-1.
    3. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    4. Johannes Haushofer & Jeremy Shapiro, 2016. "The Short-term Impact of Unconditional Cash Transfers to the Poor: ExperimentalEvidence from Kenya," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1973-2042.
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