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Track how technology is transforming work

Author

Listed:
  • Tom Mitchell

    (Tom Mitchell is professor of machine learning at Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.)

  • Erik Brynjolfsson

    (Erik Brynjolfsson is professor of management at the Massachusetts Institute of Technology (MIT) and director of the MIT Initiative on the Digital Economy in Cambridge, Massachusetts, USA.)

Abstract

Without data on how artificial intelligence is affecting jobs, policymakers will fly blind into the next industrial revolution, warn Tom Mitchell and Erik Brynjolfsson.

Suggested Citation

  • Tom Mitchell & Erik Brynjolfsson, 2017. "Track how technology is transforming work," Nature, Nature, vol. 544(7650), pages 290-292, April.
    • Handle: RePEc:nat:nature:v:544:y:2017:i:7650:d:10.1038_544290a
    DOI: 10.1038/544290a
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    Citations

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    Cited by:

    1. Benjamin Meindl & Morgan R. Frank & Joana Mendonc{c}a, 2021. "Exposure of occupations to technologies of the fourth industrial revolution," Papers 2110.13317, arXiv.org.
    2. Laura Abrardi & Carlo Cambini & Laura Rondi, 2022. "Artificial intelligence, firms and consumer behavior: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 969-991, September.
    3. Erik Brynjolfsson & Catherine Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments," Working Papers 23-14, Center for Economic Studies, U.S. Census Bureau.
    4. Hensvik, Lena & Skans, Oskar Nordström, 2023. "The skill-specific impact of past and projected occupational decline," Labour Economics, Elsevier, vol. 81(C).
    5. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
    6. Marco Bellandi & Silvia Lombardi & Erica Santini, 2020. "Traditional manufacturing areas and the emergence of product-service systems: the case of Italy," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(2), pages 311-331, June.
    7. Inha Oh & Jungho Kim, 2023. "Frontiers and laggards: Which firms benefit from adopting advanced digital technologies?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 753-766, March.
    8. Hanane Thamik & Jiang Wu, 2022. "The Impact of Artificial Intelligence on Sustainable Development in Electronic Markets," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    9. Walkowiak, Emmanuelle, 2021. "Neurodiversity of the workforce and digital transformation: The case of inclusion of autistic workers at the workplace," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    10. Kenny Ching & Enrico Forti & Evan Rawley, 2021. "Extemporaneous Coordination in Specialist Teams: The Familiarity Complementarity," Organization Science, INFORMS, vol. 32(1), pages 1-17, January.

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