Federal guidelines for digital identity services, outlining technical and procedural requirements for identity proofing, authentication, and federation.
National Institute of Standards and Technology (NIST)
This report analyzes the growing use of generative AI, particularly large language models, in enabling and scaling fraudulent activities, exploring the evolving tactics, risks, and potential countermeasures.
This report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
Canada’s Digital Standards are a set of principles that guide how public servants design, build, and run government digital services so they’re user-centered, accessible, secure, open, and trustworthy.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
This file contains two, state-agnostic service blueprints that visualize how the new work requirements policy passed as part of H.R. 1 impacts the process of applying for, determining, and maintaining eligibility for SNAP and Medicaid benefits.
This report warns that federal data collection is being undermined by budget cuts, political interference, and leadership changes that threaten the reliability of core economic and social statistics.
This 11x17 service blueprint visualizes every step, system, and policy decision involved in implementing Medicaid work requirements under H.R. 1—from application to renewal—identifying pain points, questions, and opportunities for states to streamline and humanize the process
This 8.5x11 service blueprint visually maps how Medicaid work requirements will function once implemented in 2027, detailing each policy step, system interaction, and client experience to help states identify administrative challenges and opportunities for human-centered redesign.
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 brief examines how direct cash transfers (DCTs) can improve maternal and infant health outcomes, particularly among low-income and racially marginalized populations, by reducing poverty during pregnancy and early parenthood
This overview introduces direct cash transfers (DCTs) in the United States, outlining their history, major programs, and findings from contemporary guaranteed income demonstrations that show how cash supports improve family stability, health, and economic mobility
