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)
This report explores the financial challenges faced by U.S. workers, analyzing the roles of work arrangements and public and workplace benefits in achieving financial security, while highlighting the disparities in access and effectiveness for low- and moderate-income workers.
This report summarizes progress made with agencies and members of the public to identify and reduce burdens that individuals, families, and small businesses face every day when interacting with government programs.
Benefits Data Trust (BDT), in collaboration with the Center for Health Care Strategies (CHCS), conducted a nationwide analysis of how states coordinate across Medicaid and SNAP programs to streamline access to benefits.
This Urban Institute article argues that poverty is driven by structural barriers rather than individual choices and advocates for safety net programs that address systemic inequities.
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
This report explains how the A-87 Exception enabled states to modernize and integrate health and human services systems, improving service delivery, efficiency, and data sharing across programs.
American Public Human Services Association (APHSA)
This UN report warns against the risks of digital welfare systems, emphasizing their potential to undermine human rights through increased surveillance, automation, and privatization of public services.
Applying UX research methods, the City of San Jose worked to improve how low-income and non-English speaking residents engaged with My San Jose, a website and mobile app for residents to report neighborhood issues to cities. They used a Spanish and Vietnamese translator to conduct interviews with target users, then detailed major findings and corresponding recommendations in this report.
This report outlines key lessons and recommendations from Code for America's collaboration with the Voluntary Income Tax Assistance program, which served over 800,000 clients via GetYourRefund.org.
