This plan promotes responsible AI use in public benefits administration by state, local, tribal, and territorial governments, aiming to enhance program effectiveness and efficiency while meeting recipient needs.
U.S. Department of Health and Human Services (HHS)
This playbook is designed to help government and other key sectors use data sharing to illuminate who is not accessing benefits, connect under-enrolled populations to vital assistance, and make the benefits system more efficient for agencies and participants alike.
Professor Don Moynihan discusses how administrative burden is an effective tool to make it difficult for people to access certain types of benefits, noting that this is particularly harmful to communities of color.
Through the interviews, ULP sought to capture details of claimant experience, see how and why system failures occurred, and make recommendations for reform now—before another financial or public health crisis suddenly causes state unemployment rates to spike.
This report explores how AI is currently used, and how it might be used in the future, to support administrative actions that agency staff complete when processing customers’ SNAP cases. In addition to desk and primary research, this brief was informed by input from APHSA’s wide network of state, county, and city members and national partners in the human services and related sectors.
American Public Human Services Association (APHSA)
The ubiquity of mobile devices makes it imperative to build “mobile first” services, i.e. services built with the expectation that they will primarily be accessed on mobile devices. This article also outlines important considerations and suggestions for implementing mobile-first user interfaces.
This foundational article develops the concept of administrative burden, defining it as the learning, psychological, and compliance costs individuals face when interacting with government, and argues that these burdens are often shaped by political choices.
Journal of Public Administration Research and Theory
The U.S. Digital Response collaborated with a state workforce agency to develop a multilingual, user-friendly system for retroactive Pandemic Unemployment Assistance (PUA) applications, enhancing claimant comprehension and reducing administrative strain.
This visualized report is a first first-of-its-kind view of the state of benefits applications across the nation from a client perspective, including information on application availability online, combined benefit applications, application completion times, as well as login and identity proofing requirements.
