Guidance on improving how well AI systems can understand digital content. It emphasizes using machine-readable formats and applying clear content design strategies to enhance both AI processing and human accessibility
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 report provides supplemental estimates on how Public Law 119-21—tied to H.R. 1—will affect SNAP participation, benefits, and state administrative costs over 2025–2034.
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 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.
An overview of direct cash programs and innovations in the U.S., exploring how unconditional cash transfers promote economic stability, mobility, and well-being.
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 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 comprehensive guide that provides role definitions, hiring guidance, interview materials, and evaluation rubrics for building effective UX design and research teams.
