CMS has identified a number of immediate and longer-term strategies that states can implement to improve application processing timeframes and address application backlogs.
This plan promotes responsible AI use in public benefits administration by state, local, tribal, and territorial governments, aiming to enhance program effectiveness and efficiency while meeting recipient needs.
U.S. Department of Health and Human Services (HHS)
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
This website is designed to help Federal purchasers acquire generative artificial intelligence (AI) and specialized computing infrastructure for their organizations.
Comprehensive and sustained improvement in benefits access and customer experience requires changes across policy, operations, technology, staffing, procurement, and more. This guide offers a collection of actions and best practices for states to apply.
Biometric identification technologies—such as facial recognition and fingerprinting—can affect underserved communities, including low-income and minority communities. GAO interviewed academics, advocacy groups, and technology experts to find out how.
The GAO placed the UI system on its High Risk List in June 2022, leading the DOL to develop a transformation plan detailing activities and strategies for building a resilient UI system capable of responding effectively to future economic challenges.
This exploratory tool was built to share information about SNAP participation, income, and household demographics within each congressional district. Users may select their own district, along with any other district of interest, and can compare two districts at once within a given state.
After the COVID-19 Public Health Emergency (PHE) ended, the Facing a Financial Shock team at the U.S. Digital Service (USDS) partnered with the Center for Medicaid and CHIP Services (CMCS) and state Medicaid agencies to improve eligibility and enrollment systems. By mobilizing a small strike team of implementers to analyze the software and processes that are used to complete health coverage renewals, USDS helped CMCS and state teams tackle major challenges.
FNS evaluations of Summer EBT programs show significant reductions in childhood food insecurity, but some eligible households do not fully redeem benefits.
