Rule-State Inference (RSI): A Bayesian Framework for Compliance Monitoring in Rule-Governed Domains
Compliance monitoring in rule-governed domains (tax administration, clinical protocol adherence, environmental regulation) faces three structural obstacles that standard machine learning does not simultaneously address: the absence of labeled outcomes at deployment, strategically missing observations where non-compliant entities selectively withhold evidence, and a regulatory environment that changes faster than any supervised model can be retrained. We introduce Rule-State Inference (RSI), a Ba
Record details
Published: 23 March 2026
Source: arXiv
Category: Research
Topics: Regulation · Healthcare · Environment
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (23 March 2026), “Rule-State Inference (RSI): A Bayesian Framework for Compliance Monitoring in Rule-Governed Domains,” evidence record 6874, https://ethics.ai/record/6874 (originally published by arXiv).
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