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Evidence record 5743 · automatically gathered

Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems

Machine learning systems in fraud detection, credit scoring, and clinical risk assessment operate under delayed ground truth: outcome labels arrive days to months after the decision they evaluate. During this blind period, governance evidence degrades through mechanisms that neither drift detection methods nor governance frameworks adequately address. This paper formalizes an evidence sufficiency model with four dimensions (completeness, freshness, reliability, representativeness) and a decision

Record details

Published: 17 April 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (17 April 2026), “Evidence Sufficiency Under Delayed Ground Truth: Proxy Monitoring for Risk Decision Systems,” evidence record 5743, https://ethics.ai/record/5743 (originally published by arXiv).

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