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人工智能对职业安全与健康公平的影响:范围综述。

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

机构信息

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

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

出版信息

Int J Environ Res Public Health. 2023 Jun 24;20(13):6221. doi: 10.3390/ijerph20136221.

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.

摘要

人工智能(AI)有可能减少或加剧工作场所职业安全与健康(OSH)方面的不平等现象,其影响将受到众多因素的调节。本文预期将面临挑战,以确保技术进步的 OSH 效益在社会群体、行业、工作安排和地理区域之间公平分配。为了总结近期关于人工智能在促进 OSH 公平方面作用的文献,我们进行了范围综述。该范围综述围绕人工智能、OSH 和健康公平三个概念进行设计。范围综述结果显示有 113 篇相关文章符合纳入标准。本文概述了人工智能对 OSH 公平的障碍和促进因素,并提出了减少 OSH 差距和知识差距的重点关注领域和最佳实践。范围综述揭示了重点关注领域。总之,人工智能在 OSH 公平方面的作用还远远没有得到充分研究。迫切需要进行多学科研究,以解决人工智能在何处以及如何被采用和评估,以及其在整个行业、工资类别和社会人口群体中对 OSH 的影响。OSH 专业人员可以在确定策略方面发挥重要作用,以确保人工智能在促进劳动力健康和福祉方面的效益公平分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/206f/10340692/2f76a1d0d116/ijerph-20-06221-g001.jpg

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