Beyond the Algorithm: The Human Side of AI-Enabled Risk Reduction

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Summary

AI-powered computer vision and analytics are rapidly improving what safety teams can see: patterns, hotspots, recurring exposures, and leading indicators that were previously hard to spot. That visibility is valuable—but visibility alone doesn’t reduce risk in a lasting way.

Sustainable risk reduction is still deeply human. It lives in how work is actually done, the trade-offs people feel forced to make, the habits that form under pressure, and the conditions leaders create (tools, time, access, design, supervision, norms). AI can tell you what is happening and where it clusters. People and systems thinking are what uncover why it’s happening—and how to change the conditions so safe work becomes the easy, natural choice.

In this webinar, we’ll unpack the “now what?” moment: once AI delivers analysis, how do you turn it into prevention—not just faster response or more compliance activity. We’ll focus on building a practical learning loop that combines AI insights with human factors, workforce engagement, and operational context, so improvements stick even when the camera isn’t watching.

Key learnings:

• How to connect AI detections to human factors and behavioral drivers without blaming individuals
• A repeatable workflow to convert signals into prevention: triage → learning → redesign → reinforce
• How to strengthen intrinsic commitment and speak-up culture while using monitoring responsibly
• What to measure beyond alert counts: system changes, barrier strength, and sustained exposure reduction

Speakers

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