In this updated primer, the DBN describes how identity proofing and authentication show up in public benefits applications and outlines equity and security concerns raised by common identity proofing and authentication methods.
The team developed an AI solution to assist benefit navigators with in-the-moment program information, finding that while LLMs are useful for summarizing and interpreting text, they are not ideal for implementing strict formulas like benefit calculations, but can accelerate the eligibility process by leveraging their strengths in general tasks.
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 article discusses effective strategies for training government partners in digital services, emphasizing the importance of prioritizing training, setting clear objectives, and fostering mutual understanding and trust.
This publication describes the research process and protocol used in the Digital Benefits Networks research project, "Digital Account Creation and Identity Proofing in Public Benefits Applications."
The SDCI User Research Participant Compensation Policy establishes guidelines for providing honoraria to user research participants, ensuring equitable, ethical, and inclusive engagement in SDCI’s UX research.
Seattle Department of Construction & Inspections (SDCI)
This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
