A Neuro-Symbolic Framework for Accountability in Public-Sector AI

ArXi:2512.12109v3 Announce Type: replace-cross Automated eligibility systems increasingly determine access to essential public benefits, but the explanations they generate often fail to reflect the legal rules that authorize those decisions. This thesis develops a legally grounded explainability framework that links system-generated decision justifications to the statutory constraints of CalFresh, California's Supplemental Nutrition Assistance Program.