This framework provides a structured approach for ensuring responsible and transparent use of AI systems across government, emphasizing governance, data integrity, performance evaluation, and continuous monitoring.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
This page reports on key metrics assessing how well federal websites are performing against standards for accessibility, mobile usability, search, feedback, design consistency, analytics, and security.
A 2025 policy agenda outlining comprehensive federal and state recommendations to eliminate benefits cliffs and strengthen economic mobility for families transitioning off public assistance.
A detailed guide outlining how states can minimize coverage losses and administrative burden while implementing new Medicaid work requirements established under the 2025 federal reconciliation law.
A report outlining human-centered design strategies to help states implement new federal Medicaid work requirements in ways that minimize coverage loss and administrative burden
A blog post offering four distinct types of visualization maps that help digital project teams quickly build shared understanding and alignment when starting new work.
A national survey of low-wage workers showing that administrative burdens in SNAP and Medicaid are common and strongly linked to food hardship, healthcare hardship, and chronic illness.
A practical, plain-language guide offering public-sector procurement and technology teams actionable tools and best practices for procuring AI responsibly and effectively.
A blog post outlining key strategies states can use to lower SNAP payment error rates, a priority given new fiscal penalties tied to error rates under recent federal law.
