Using AI to Predict Accidents of the Future

Process safety incidents often arise from failures at the intersections of people, technology and the operating environment. These events are rarely the result of a single mistake; instead, they emerge from a chain of latent and active failures that align in unexpected ways, sometimes with catastrophic outcomes.

As industries generate more data than ever before, Artificial Intelligence is reshaping how we interpret that information. New analytical tools offer the potential to uncover hidden patterns, predict performance and identify risks long before they escalate.

Can AI detect early warning signals that humans might overlook? Could it help forecast and prevent future accidents? In this webinar, Professor Fiona Macleod explores the evolving role of AI in process safety and examines whether intelligent systems can support safer industrial operations in the years ahead.

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