AI agents in production infrastructure can fail confidently without signaling uncertainty, creating dangerous automation complacency. Drawing on decades of research from aviation and industrial control systems, the author argues teams must design for calibrated trust: agents should expose uncertainty alongside decisions, dashboards should show rejected alternatives, and teams should practice 'trust decay' mitigation by scheduling synthetic escalation events to keep human operators sharp and ready to intervene when novel failures occur.
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