This report presents findings and recommendations from a user experience study based on interviews with 156 participants enrolled in Medicaid and SNAP.
When COVID-19 hit, the State of New Jersey recognized the need to both receive data on the spread of the disease from the public and provide information to them on how to mitigate it.
A participant handbook that explains how a child care wage boost pilot works, including eligibility, enrollment, payments, privacy protections, and ongoing responsibilities for facilities and workers.
King County Department of Community and Human Services
This guidebook offers an introduction to the risks of discrimination when using automated decision-making systems. This report also includes helpful definitions related to automation.
The COVID Response Project was funded by the W.K. Kellogg Foundation to document the real-time impacts of the COVID-19 pandemic on state human services agencies and capture state perspectives on lessons learned to guide future federal policymaking and state implementation. The project was completed by the American Public Human Services Association (APHSA) in partnership with the U.S. Department of Health and Human Services, Administration for Children and Families (ACF), Office of Regional Operations. Insights from the report reflect information obtained through APHSA’s on-going support of state human services agencies’ COVID-19 response efforts as well as a series of in-depth interviews with executive leadership of the 14 state health and human services agencies in ACF’s Region 1 (New England) and Region 4 (Southeast) areas.
American Public Human Services Association (APHSA)
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include MAGI Medicaid.
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
This policy report offers recommendations for improving digital identity practices in the United States, emphasizing the role of government in creating secure, accessible digital identity resources.
This report provides specific actions the federal government could take to reduce identity fraud and establish a whole-of-government victim redress approach.
This report examines how governments can effectively build, attract, and retain AI talent to responsibly integrate artificial intelligence into public service delivery.
