This policy brief explores how federal privacy laws like the Privacy Act of 1974 limit demographic data collection, undermining government efforts to conduct equity assessments and address algorithmic bias.
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)
With the extension and expansion of P-EBT during COVID and the Food and Nutrition Service releasing new guidance, states have an opportunity to effectively deliver essential resources to children and families. Code for America built this toolkit of resources to share recommendations and promising practices around the implementation of P-EBT and to support state agencies and partners tasked with the development of P-EBT programs.
Californians who receive food assistance come from all backgrounds, but many share a similar story: they were barely getting by financially when they were tipped into crisis by an unexpected expense or loss of income. This site shares their stories.
A case study of the Hawai‘i Career Acceleration Navigator — an accessible, data-driven and full-service government platform for unemployed people and other jobseekers to search for jobs and access supportive service benefits.
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 report explores the Maine Department of Labor’s (MDOL) remarkable response to this layoff through collaboration with the Peer Workforce Navigator project—a coalition of community-based organizations in partnership with the MDOL—which made a huge difference in the lives of these laid off workers. The report also examines aspects of the state’s unemployment insurance (UI) system that might be improved to account for similar situations in the future.
As a next step in Iowa's modernization effort, the MEME project released a video describing Iowa's proposed approach and next steps for the purpose of engaging with vendors. The video linked here provides additional information on the project's learnings so far.
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
This session from FormFest 2024 focused on how to help people get the assistance they need from the U.S. Department of Health and Human Services’ work on the Low Income Home Energy Assistance Program (LIHEAP) and the Maryland Social Services Administration’s work to improve welfare support for kinship caregivers.
