A systems-thinking essay that explains why failure rarely happens suddenly. It shows how slow drift, accumulating pressure, and weakening buffers push systems toward collapse long before outcomes change, and why prediction-focused analytics miss the most important phase of failure.
theory drift complex-systems decision-support resilience early-warning-systems explainable-ai systems-thinking failure-analysis human-centered-ai ethical-ai transition-risk risk-detection ai-philosophy equilibrium-modeling ml-philosophy non-stationary-systems instability-modeling process-over-outcomes system-failure
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Updated
Dec 16, 2025