AI accountability framework links public sector decisions to legal rules

This research paper introduces a novel neuro-symbolic framework designed to enhance accountability in public-sector AI systems. The framework links AI-generated decision justifications to specific legal rules, using CalFresh, California's food assistance program, as a case study. It combines a structured ontology of eligibility requirements with a rule extraction pipeline and a solver-based reasoning layer to identify and correct legally inconsistent explanations, thereby supporting procedural accountability. AI

影响 Enhances transparency and contestability of AI decisions in public services, potentially setting a precedent for other government applications.

排序理由 Academic paper on a novel AI framework for accountability. [lever_c_demoted from research: ic=1 ai=1.0]

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