A statewide report outlining the roadmap, governance framework, and implementation plan for responsible generative AI adoption across Washington State government.
A report that defines what effective “human oversight” of AI looks like in public benefits delivery and offers practical guidance for ensuring accountability, equity, and trust in algorithmic systems.
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 summary of the initial CMS guidance (CMCS informational bulletin) on how states should implement Medicaid work reporting requirements under H.R. 1, clarifying high-level expectations and key technical points.
A policy guidance document outlining practical steps states can take to reduce harm to immigrant communities following major Medicaid eligibility restrictions enacted under federal budget reconciliation legislation.
A comprehensive report outlining a student-led strategy to improve access to mental health supports through prevention, early intervention, and treatment across schools and community partners.
A participant handbook that explains how a child care wage boost pilot works, including eligibility, enrollment, payments, privacy protections, and ongoing responsibilities for facilities and workers.
King County Department of Community and Human Services
A practical, step-by-step guide for government agencies to design, implement, and evaluate community engagement efforts around the use of artificial intelligence.
This technical guide provides a framework for state agencies to minimize procedural terminations and health coverage losses resulting from new Medicaid work reporting requirements.
This workshop summary synthesizes key takeaways from a convening of nearly 40 research and data analytics staff from 15 states focused on SNAP Quality Control (QC) data modeling.
This comprehensive research report evaluates the structural progress, disparities, and operational barriers surrounding artificial intelligence adoption within the United States federal government.
