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Predictable AI Failures

This video analyzes common AI implementation failures within highly regulated sectors such as life sciences and manufacturing. Through various case studies, the text illustrates how governance gaps, such as unmonitored data drift and unchecked system authority, lead to operational risks. Complementing these narratives, the provided diagram outlines a structured control plane designed to manage the intersection of IT and operational technology. This framework emphasizes the necessity of human-in-the-loop oversight, rigorous validation gates, and comprehensive audit trails to ensure safety. Ultimately, the materials argue that preventing incidents requires proactive design and explicit accountability rather than simply focusing on the underlying technology. Underlining this philosophy is the requirement that all automated systems maintain clear boundaries and verifiable records to support regulatory compliance. #appendix-predictable-ai-failures