Summary
Adopters of agentic automation often worry about the accuracy, reliability, and safety of AI agents and their automation. In addition, political concerns might result in AI models becoming inaccessible, politically biased, or fraudulent. Resilience, flexibility, and safety are essential decision criteria for AI-based automation in addition to the familiar technical ones. Fail-safe and fail-operational design principles make agentic automation systems more reliable, resilient, and safe. This report explains what these principles mean and how to put them into practice.
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