Tag Archives: AI in EHS management

Most incidents aren’t caused by a single mistake—they result from conditions that made failure likely long before it happened.

In this article, I explore how automated reasoning can help EHS and operational leaders detect those conditions earlier, connect weak signals, and make more consistent, defensible decisions in real time. Just as important, I outline where technology stops—and where human leadership, trust, and judgment still determine outcomes.
The future of safety isn’t human or AI—it’s the integration of both to anticipate risk and act before it becomes reality. Continue reading →