Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems
Risk decision systems in fraud detection and credit scoring operate under structural label absence: ground truth arrives weeks to months after decisions are made. During this blind period, model performance may degrade silently, eroding the governance evidence that justifies automated decisions. Existing drift detection methods either require labels (supervised detectors) or detect statistical change without distinguishing harmful degradation from benign distributional evolution (unsupervised de
Record details
Published: 20 April 2026
Source: arXiv
Category: Research
Topics: Regulation
Retrieved: 14 July 2026
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ethics.ai (20 April 2026), “Label-Free Detection of Governance Evidence Degradation in Risk Decision Systems,” evidence record 5627, https://ethics.ai/record/5627 (originally published by arXiv).
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