The Policy2Code Prototyping Challenge explored utilizing generative AI technology to translate U.S. government policies for public benefits into plain language and code, culminating in a Demo Day where twelve teams showcased their projects for feedback and evaluation.
The team aimed to automate applying rules efficiently by creating computable policies, recognizing the need for AI tools to convert legacy policy content into automated business rules using Decision Model Notation (DMN) for effective processing and monitoring.
This mainstage session from FormFest 2024 featured behind-the-scenes stories about the IRS’ work to turn tax forms from static PDFs into a user friendly digital experience.
This brief estimates of benefits, costs, interactions with other means tested programs, and impact on poverty for the paid family and medical leave program.
This annotated bibliography compiles key resources on data linkage and integration for research and statistical purposes, focusing on best practices, governance, and technical considerations.
