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Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review

Author

Listed:
  • Elizabeth Fisher

    (Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL 60612, USA)

  • Michael A. Flynn

    (Division of Science Integration, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA)

  • Preethi Pratap

    (Division of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, Chicago, IL 60612, USA)

  • Jay A. Vietas

    (Division of Science Integration, National Institute for Occupational Safety and Health, Cincinnati, OH 45226, USA)

Abstract

Artificial intelligence (AI) has the potential to either reduce or exacerbate occupational safety and health (OSH) inequities in the workplace, and its impact will be mediated by numerous factors. This paper anticipates challenges to ensuring that the OSH benefits of technological advances are equitably distributed among social groups, industries, job arrangements, and geographical regions. A scoping review was completed to summarize the recent literature on AI’s role in promoting OSH equity. The scoping review was designed around three concepts: artificial intelligence, OSH, and health equity. Scoping results revealed 113 articles relevant for inclusion. The ways in which AI presents barriers and facilitators to OSH equity are outlined along with priority focus areas and best practices in reducing OSH disparities and knowledge gaps. The scoping review uncovered priority focus areas. In conclusion, AI’s role in OSH equity is vastly understudied. An urgent need exists for multidisciplinary research that addresses where and how AI is being adopted and evaluated and how its use is affecting OSH across industries, wage categories, and sociodemographic groups. OSH professionals can play a significant role in identifying strategies that ensure the benefits of AI in promoting workforce health and wellbeing are equitably distributed.

Suggested Citation

  • Elizabeth Fisher & Michael A. Flynn & Preethi Pratap & Jay A. Vietas, 2023. "Occupational Safety and Health Equity Impacts of Artificial Intelligence: A Scoping Review," IJERPH, MDPI, vol. 20(13), pages 1-28, June.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:13:p:6221-:d:1178372
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    References listed on IDEAS

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    1. Elizabeth Gibney, 2020. "The battle for ethical AI at the world’s biggest machine-learning conference," Nature, Nature, vol. 577(7792), pages 609-609, January.
    2. Paul A. Schulte & George Delclos & Sarah A. Felknor & L. Casey Chosewood, 2019. "Toward an Expanded Focus for Occupational Safety and Health: A Commentary," IJERPH, MDPI, vol. 16(24), pages 1-17, December.
    3. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    4. Hollingsworth, Alex & Ruhm, Christopher J. & Simon, Kosali, 2017. "Macroeconomic conditions and opioid abuse," Journal of Health Economics, Elsevier, vol. 56(C), pages 222-233.
    5. David Autor & Anna Salomons, 2018. "Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share," NBER Working Papers 24871, National Bureau of Economic Research, Inc.
    6. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1.
    7. Antonio Baldassarre & Nicola Mucci & Luigi Isaia Lecca & Emanuela Tomasini & Maria Julia Parcias-do-Rosario & Carolina Tauil Pereira & Giulio Arcangeli & Paulo Antonio Barros Oliveira, 2020. "Biosensors in Occupational Safety and Health Management: A Narrative Review," IJERPH, MDPI, vol. 17(7), pages 1-10, April.
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    9. David Autor & Claudia Goldin & Lawrence F. Katz, 2020. "Extending the Race between Education and Technology," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 347-351, May.
    10. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    11. Steven J. Davis & Till Von Wachter, 2011. "Recessions and the Costs of Job Loss," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(2 (Fall)), pages 1-72.
    12. Michael H Belzer & Stanley A Sedo, 2018. "Why do long distance truck drivers work extremely long hours?," The Economic and Labour Relations Review, , vol. 29(1), pages 59-79, March.
    13. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    14. Sorensen, Glorian & Dennerlein, Jack T. & Peters, Susan E. & Sabbath, Erika L. & Kelly, Erin L. & Wagner, Gregory R., 2021. "The future of research on work, safety, health and wellbeing: A guiding conceptual framework," Social Science & Medicine, Elsevier, vol. 269(C).
    15. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    16. Michael A. Flynn & Pietra Check & Andrea L. Steege & Jacqueline M. Sivén & Laura N. Syron, 2021. "Health Equity and a Paradigm Shift in Occupational Safety and Health," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
    17. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
    18. Pia Orrenius & Madeline Zavodny, 2009. "Do immigrants work in riskier jobs?," Demography, Springer;Population Association of America (PAA), vol. 46(3), pages 535-551, August.
    19. Forst, L. & Friedman, L. & Chin, B. & Madigan, D., 2015. "Spatial clustering of occupational injuries in communities," American Journal of Public Health, American Public Health Association, vol. 105, pages 526-533.
    20. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338.
    21. Delfina Ramos & Teresa Cotrim & Pedro Arezes & João Baptista & Matilde Rodrigues & João Leitão, 2022. "Frontiers in Occupational Health and Safety Management," IJERPH, MDPI, vol. 19(17), pages 1-5, August.
    22. Maryam Pishgar & Salah Fuad Issa & Margaret Sietsema & Preethi Pratap & Houshang Darabi, 2021. "REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health," IJERPH, MDPI, vol. 18(13), pages 1-42, June.
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