Landscape of Artificial Intelligence Use for Occupational Health and Safety Practice in Two Canadian Provinces.

IF 3.1 3区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

American journal of industrial medicine Pub Date : 2025-09-07 DOI:10.1002/ajim.70018

Arif Jetha, Hyunmi Lee, Maxwell J Smith, Victoria H Arrandale, Aviroop Biswas, Cameron Mustard, Peter M Smith

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引用次数: 0

Abstract

Background: Artificial intelligence (AI) can modernize occupational health and safety (OHS) practice and provide solutions to the most complex health and safety challenges. Empirical data on firm-level AI utilization in OHS practice remain limited. The objective of this study was to examine AI use for OHS and firm-level descriptive and OHS characteristics associated with AI use.

Methods: A total of 810 OHS professionals in British Columbia and Ontario, Canada were surveyed in the summer of 2024. Surveys asked about firm-level AI use for OHS and items asked about descriptive and OHS characteristics. Participants were also asked about perceived AI concerns and OHS impact. A multivariate logistic regression model was fitted to examine factors associated with firm-level AI use for OHS.

Results: In total, 29% reported firm-level AI use for OHS. Larger-sized firms and those with hybrid work arrangements had a greater odds of AI use for OHS. Also, firms with high workplace hazard exposure had a greater odds of AI OHS use. More positive perceptions of AI's impact on OHS were associated with firm-level AI use for OHS.

Conclusions: AI use for OHS may be concentrated among hazardous firms and those with the conditions to support technological adoption. Research examining AI's effectiveness in OHS settings is needed to guide evidence-based implementation in occupational health practice.

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人工智能在加拿大两个省职业健康和安全实践中的应用景观。

背景：人工智能（AI）可以实现职业健康与安全（OHS）实践的现代化，并为最复杂的健康与安全挑战提供解决方案。关于企业层面人工智能在职业健康卫生实践中的应用的经验数据仍然有限。本研究的目的是检查人工智能在职业健康安全方面的使用，以及与人工智能使用相关的企业层面的描述性和职业健康安全特征。方法：于2024年夏季对加拿大不列颠哥伦比亚省和安大略省810名职业健康安全专业人员进行调查。调查询问了公司层面的人工智能在职业健康安全方面的使用情况，并询问了描述性和职业健康安全特征。参与者还被问及对人工智能的担忧和职业健康安全的影响。我们拟合了一个多变量逻辑回归模型来检验与企业层面人工智能用于职业健康安全相关的因素。结果：总共有29%的人报告了公司层面的人工智能用于职业健康安全。大型公司和混合工作安排的公司在职业健康安全方面使用人工智能的可能性更大。此外，工作场所危害暴露高的公司使用人工智能OHS的几率更大。对人工智能对职业健康安全的影响的更积极的看法与公司层面人工智能在职业健康安全方面的使用有关。结论：人工智能在职业健康安全中的应用可能集中在危险企业和有条件支持技术采用的企业。需要研究人工智能在职业健康卫生环境中的有效性，以指导职业卫生实践中的循证实施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

American journal of industrial medicine 医学-公共卫生、环境卫生与职业卫生

CiteScore

5.90

自引率

5.70%

发文量

108

审稿时长

4-8 weeks

期刊介绍： American Journal of Industrial Medicine considers for publication reports of original research, review articles, instructive case reports, and analyses of policy in the fields of occupational and environmental health and safety. The Journal also accepts commentaries, book reviews and letters of comment and criticism. The goals of the journal are to advance and disseminate knowledge, promote research and foster the prevention of disease and injury. Specific topics of interest include: occupational disease; environmental disease; pesticides; cancer; occupational epidemiology; environmental epidemiology; disease surveillance systems; ergonomics; dust diseases; lead poisoning; neurotoxicology; endocrine disruptors.