A guidance page explaining how government teams should evaluate and use commercial-off-the-shelf (COTS) products and services when building digital public services.
A case study documenting the creation, pilot, impact, and eventual sunset of a government text-messaging service used to improve how agencies communicate with the public.
A plain-language overview explaining how federal law regulates automated calls and text messages to the public, including when consent is required and who is exempt.
A practical, step-by-step guide for government agencies to design, implement, and evaluate community engagement efforts around the use of artificial intelligence.
This paper evaluates the technical vendor landscape as states prepare to implement Medicaid work requirements mandated by the H.R. 1 reconciliation law.
This report analyzes how SNAP households redeemed their benefits in FY 2022, examining transaction frequency, benefit exhaustion timing, store types, online purchasing, and the effects of pandemic-related policy changes.
A public event that explored workers’ real-world experiences with unemployment insurance systems, focusing on barriers, inequities, and policy insights from their perspectives.
The report summarizes qualitative research and feedback from Tribal leaders and grant administrators to inform improvements in federal grant systems and processes.
U.S. Department of Health and Human Services (HHS)
A central hub of guidance, standards, and supporting documentation explaining how UK public sector bodies should record and publish information about algorithmic systems to ensure transparency and accountability.
A public summary of findings from an AI trust study showing how Canadians perceive and trust different AI designs on the official government website, particularly preferring custom, transparent AI experiences over general third-party AI tools.
A research report examines how internal workplace conditions in federal agencies influence employee satisfaction and ultimately the quality of services delivered to the public.
A comprehensive assessment that maps how artificial intelligence is currently being used, governed, and managed across local, state, and federal governments in the United States.
