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fairness-drift

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Shaw1011 / fairness-drift

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Continuous Temporal Fairness Orchestrator using an O(1) Detection Triangle (F-ADWIN, F-EWMA, Page-Hinkley). Designed to statistically prove and detect sudden shifts, gradual data poisoning, and monotonic degradation in production machine learning models without arbitrary sliding windows.

machine-learning streaming-algorithms concept-drift ai-safety adversarial-machine-learning ai-ethics mlops data-poisoning fairness-drift
  • Updated Mar 29, 2026
  • Python

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