AI-DRIVEN AUTOMATION OF PUBLIC ASSISTANCE PROGRAM ELIGIBILITY: A TECHNICAL ANALYSIS

This technical article explores the application of Artificial Intelligence in automating the eligibility determination process for major public assistance programs, including SNAP (Supplemental Nutrition Assistance Program), TANF (Temporary Assistance for Needy Families), and MA (Medical Assistance). The article examines the current challenges in manual processing systems, presents a comprehensive framework for AI implementation, and analyzes the technical architecture required for successful deployment. It covers data pipeline components, machine learning frameworks, implementation methodologies, bias mitigation strategies, security controls,