Resource Digitizing Policy + Rules as Code Demos

PolicyEngine at Policy2Code Demo Day at BenCon 2024

The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.

PolicyEngine aims to improve accessibility and comprehension of complex public benefits policies. While PolicyEngine’s open-source tax-benefit rules engine captures hundreds of programs (e.g., Medicaid, SNAP, SSI, TANF, EITC, state tax credits, and others), the intricate rules and interactions between them are often inscrutable even to experts. PolicyEngine developed an AI-powered explanation feature that leverages LLMs to transform PolicyEngine’s detailed policy calculations into clear, accessible explanations. Their AI-powered explanation feature has shown promising results in making complex, multi-program policy calculations more understandable. It provides real-time, contextual explanations of benefit calculations, allowing users to explore “what-if” scenarios. The feature effectively translates raw computation data into clear, concise explanations that highlight key factors influencing benefit amounts, eligibility thresholds, and interactions between different programs.