Institute for Work & Health, Toronto, Ontario, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Am J Ind Med. 2023 Oct;66(10):815-830. doi: 10.1002/ajim.23517. Epub 2023 Jul 31.
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.
劳动力市场正在经历一场快速的人工智能 (AI) 革命。目前,关于人工智能采用如何以影响工人健康、安全、福利和公平的方式影响就业机会和工作环境的实证研究有限。本文提出了一个议程,以指导研究考察人工智能对工作和健康交叉点的影响。为了制定议程,组织了一次为期一天的会议,有 50 名参与者参加,包括来自不同学科和应用利益相关者的研究人员。会议讨论旨在确定与工作场所 AI 应用及其对工人健康的影响相关的研究重点,包括关键研究问题、方法方法、数据需求和资源需求。讨论还旨在确定可能受益于人工智能采用的工人群体和工作环境以及可能因人工智能而处于不利地位的工人群体和工作环境。讨论被综合为四个研究议程领域:(1)研究更强人工智能对人类工人的影响;(2)推进负责任和健康的人工智能;(3)为工人健康、安全、福利和公平就业的人工智能政策提供信息;(4)了解和解决工人和雇主对人工智能应用的知识需求。该议程为研究人员提供了一个路线图,以建立关于人工智能对工人和工作场所影响的关键证据基础,并将确保工人健康、安全、福利和公平处于工作场所人工智能系统设计和采用的前沿。