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.
Teams crafting policy inside and outside government can use the assessment to center their policy-making activities around those most impacted by their proposed programs and policy ideas.
This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
A training course on using artificial intelligence (AI) tools to de-jargonize government language, with a tutorial on turning a complex piece of government writing into simpler and easier-to-understand language for government employees and residents alike.
A report summarizing effective state practices, promising initiatives, and federal resources to improve payment accuracy in the Supplemental Nutrition Assistance Program (SNAP).
A report that reviews what has been learned from guaranteed income pilot projects in Massachusetts and situates those findings within the broader national evidence base.
The report examines how states are using Medicaid Section 1115 demonstration projects to address health-related social needs, such as housing and nutrition, for pregnant and postpartum individuals and young children to improve health outcomes and reduce disparities.
A research snapshot summarizing early findings from outreach and discovery work to identify high-impact opportunities for improving public benefits delivery, with an initial focus on notifications.
An analysis showing that a proposed plan to shift some cost of SNAP benefits to states could push nearly 900,000 additional people into poverty during a recession.
This profile on the Centers for Medicare and Medicaid Services’ (CMS) Open Source Program Office, the first of its kind in the federal government, showcasing how it advances transparency, collaboration, and innovation across agencies through open source software.
This report provides an overview of artificial intelligence (AI), key policy considerations, and federal government activities related to AI development and regulation.
Working with TANF administrators and human services leaders across the country, the American Public Human Services Association (APHSA) embraces the call to reimagine how TANF can work in support of the families it serves and has established a set of TANF Modernization Core Principles to guide our vision for the future of TANF. Grounded in these Core Principles, APHSA’s members have laid out a legislative framework to unlock the potential of TANF. We call upon Congress to use this framework as a starting point to build common ground to achieve a TANF reauthorization that promotes a more equitable and prosperous future for all Americans.
American Public Human Services Association (APHSA)
