Artificial intelligence and the work-health interface: A research agenda for a technologically transforming world of work.

Journal: American journal of industrial medicine
Published Date:

Abstract

The labor market is undergoing a rapid artificial intelligence (AI) revolution. There is currently limited empirical scholarship that focuses on how AI adoption affects employment opportunities and work environments in ways that shape worker health, safety, well-being and equity. In this article, we present an agenda to guide research examining the implications of AI on the intersection between work and health. To build the agenda, a full day meeting was organized and attended by 50 participants including researchers from diverse disciplines and applied stakeholders. Facilitated meeting discussions aimed to set research priorities related to workplace AI applications and its impact on the health of workers, including critical research questions, methodological approaches, data needs, and resource requirements. Discussions also aimed to identify groups of workers and working contexts that may benefit from AI adoption as well as those that may be disadvantaged by AI. Discussions were synthesized into four research agenda areas: (1) examining the impact of stronger AI on human workers; (2) advancing responsible and healthy AI; (3) informing AI policy for worker health, safety, well-being, and equitable employment; and (4) understanding and addressing worker and employer knowledge needs regarding AI applications. The agenda provides a roadmap for researchers to build a critical evidence base on the impact of AI on workers and workplaces, and will ensure that worker health, safety, well-being, and equity are at the forefront of workplace AI system design and adoption.

Authors

  • Arif Jetha
    Institute for Work and Health, Toronto, Ontario, Canada.
  • Hela Bakhtari
    Institute for Work & Health, Toronto, Ontario, Canada.
  • Laura C Rosella
    Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada laura.rosella@utoronto.ca.
  • Monique A M Gignac
    Institute for Work and Health, Toronto, Ontario, Canada.
  • Aviroop Biswas
    Institute for Work & Health, Toronto, Ontario, Canada.
  • Faraz V Shahidi
    Institute for Work & Health, Toronto, Ontario, Canada.
  • Brendan T Smith
    Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Maxwell J Smith
    Faculty of Health Sciences, School of Health Studies, Western University, London, Ontario, Canada.
  • Cameron Mustard
    Institute for Work & Health, Toronto, Ontario, Canada.
  • Naimul Khan
  • Victoria H Arrandale
    Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
  • Peter J Loewen
    Munk School of Global Affairs and Public Policy, University of Toronto, Ontario, Canada.
  • Daniyal Zuberi
    Factor-Inwentash Faculty of Social Work, University of Toronto, Ontario, Canada.
  • Jack T Dennerlein
    Department of Physical Therapy, Movement, and Rehabilitation Sciences, Bouve College of Health Sciences, Northeastern University, Boston, Massachusetts, USA.
  • Silvia Bonaccio
    Telfer School of Management, University of Ottawa, Ottawa, Ontario, Canada.
  • Nicole Wu
    Department of Political Science, University of Toronto, Toronto, Ontario, Canada.
  • Emma Irvin
    Institute for Work & Health, Toronto, Ontario, Canada.
  • Peter M Smith
    Institute for Work and Health, Toronto, Ontario, Canada.