AI-Powered SNAP Modernization: Analysis of Policy Issues Impacting the Use of Artificial Intelligence in SNAP Case Processing
This publication unpacks the rapidly evolving policy landscape surrounding the use of AI in SNAP case processing to support agency leaders across the country as they explore how advances in technology can overcome widespread challenges, enhance their program operations, and streamline service delivery processes.
This publication—the second in a three-part series that APHSA will release on the use of AI in SNAP case processing— details the rapidly changing policy landscape surrounding the use of AI in SNAP and explores potential enabling policy actions to support this use. This brief offers:
- Implications of recent U.S. AI policymaking on SNAP policy and practice
- Policy considerations for the use of AI in SNAP case processing, including potential enabling policy actions
- Synthesis and analysis of existing federal requirements and guidance relevant to the use of AI in SNAP case processing as of the publication date
- Expansion on potential risks and opportunities of example applications of AI as presented in the first report in this series.
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AI-Powered SNAP Modernization: An Introduction to Current and Potential Uses of AI in SNAP Case Processing
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.
