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

Publication type
Journal article
Authors
Jetha A, Bakhtari H, Rosella LC, Gignac MA, Biswas A, Shahidi FV, Smith BT, Smith MJ, Mustard C, Khan N, Arrandale VH, Loewen PJ, Zuberi D, Dennerlein JT, Bonaccio S, Wu N, Irvin E, Smith PM
Date published
2023 Jul 01
Journal
American Journal of Industrial Medicine
Volume
66
Issue
10
Pages
815-830
Open Access?
Yes
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