{"id":14064,"date":"2026-04-23T12:56:08","date_gmt":"2026-04-23T12:56:08","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/14064\/"},"modified":"2026-04-23T12:56:08","modified_gmt":"2026-04-23T12:56:08","slug":"unsanctioned-ai-use-rising-among-global-ehs-teams-occupational-health-safety","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/14064\/","title":{"rendered":"Unsanctioned AI Use Rising Among Global EHS Teams — Occupational Health & Safety"},"content":{"rendered":"

\n \"Industrial<\/p>\n

Unsanctioned AI Use Rising Among Global EHS Teams<\/p>\n

Research shows safety professionals are increasingly turning to unofficial tools as organizations struggle with data integration and governance.<\/p>\n


\n\t\t\tBy Jesse Jacobs<\/a>Apr 23, 2026 <\/p>\n

New research reveals that artificial intelligence adoption in EHS sectors is outpacing organizational readiness, with 95% of senior leaders reporting that employees are using unapproved AI tools at work.<\/p>\n

According to The State of EHS+ Technology report<\/a>, this rise in “shadow AI” occurs as organizations struggle with fragmented data systems. While 97% of leaders acknowledge AI use within their operations, only 5% have successfully embedded the technology across their workflows.<\/p>\n

The study, which surveyed 2,000 senior leaders across North America and Europe, highlights a significant infrastructure gap. Approximately 85% of organizations still rely on manual or disconnected tools. Furthermore, 88% of respondents noted that a lack of integration between EHS software and other enterprise systems remains a primary barrier to scaling AI effectively.<\/p>\n

Despite these hurdles, AI is significantly influencing procurement strategies. The data shows that 94% of leaders consider AI capabilities when purchasing new technology, and 62% are moving toward integrated platforms to consolidate their data.<\/p>\n

The report suggests a shift in how safety professionals view the value of AI. Rather than using it solely for administrative tasks or backward-looking reports, 82% of organizations see the potential for AI to assist in real-time decision-making. This includes managing shift changes, monitoring PPE availability and identifying worker fatigue as it happens.<\/p>\n

Trust remains a critical factor in adoption. Only 15% of respondents said they would trust fully autonomous AI to make safety decisions. Instead, 85% of leaders prefer a “human-in-the-loop” approach, where AI provides recommendations that are ultimately reviewed and approved by a person.<\/p>\n

The findings indicate that the most “mature” organizations are not necessarily those with the most AI tools, but those that have prioritized centralized data and integrated platforms as a prerequisite for automation.<\/p>\n

<\/p>\n

About the Author<\/p>\n


\n
\n Jesse Jacobs is assistant editor of OHSOnline.com<\/a>.
\n

\n
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