AI can generate predictions, alerts and recommendations, but value is created only when those 
outputs change an operational decision. This session examines how operators determine when AI 
should inform, recommend or trigger action—and where human judgment must remain in control.

Discussion points:
• How an AI prediction or recommendation moves from model output into an actual engineering or operational decision.
• Who owns the decision: defining human approval, override authority, confidence thresholds and escalation when AI recommendations are uncertain.
• Where operators can progress from decision support toward semi-autonomous action, and which high-consequence decisions should remain human-controlled.

Return to Agenda