A systems-thinking essay that reframes failure as a gradual transition rather than a discrete outcome. It explains how pressure accumulation, weakening buffers, and hidden instability precede visible collapse, and why prediction-based models arrive too late to prevent failure in human-centered systems.
theory complex-systems decision-support early-warning-systems explainable-ai systems-thinking failure-analysis human-centered-ai interpretable-models ethical-ai transition-risk applied-systems risk-detection ai-philosophy equilibrium-modeling ml-philosophy non-stationary-systems modeling-instability instability-modeling process-over-outcomes
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Updated
Dec 14, 2025