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

Arif Jetha, Hela Bakhtari, Laura C. Rosella, Monique A.M. Gignac, Aviroop Biswas, Faraz V. Shahidi, Brendan T. Smith, Maxwell J. Smith, Cameron Mustard, Naimul Khan, Victoria H. Arrandale, Peter J. Loewen, Daniyal Zuberi, Jack T. Dennerlein, Silvia Bonaccio, Nicole Wu, Emma Irvin, Peter M. Smith

Research output: Contribution to journalReview ArticleResearchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)815-830
Number of pages16
JournalAmerican Journal of Industrial Medicine
Volume66
Issue number10
DOIs
Publication statusPublished - Oct 2023
Externally publishedYes

Keywords

  • AI policy
  • artificial intelligence
  • employment equity
  • machine learning
  • research agenda
  • responsible AI
  • worker health, safety, and well-being

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