Executed on March 28, 2024, this memorandum establishes new agency requirements and guidance for AI governance, innovation, and risk management, including through specific minimum risk management practices for uses of AI that impact the rights and safety of the public.
This hub introduces the UK government's Algorithmic Transparency Recording Standard (ATRS), a structured framework for public sector bodies to disclose how they use algorithmic tools in decision-making.
Outlines recommendations from the U.S. House of Representatives for the responsible adoption, governance, and oversight of artificial intelligence technologies across state agencies.
Bipartisan House Task Force on Artificial Intelligence
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 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
A practical guide for advocates that explains how automated benefit notices are generated, where common notice failures originate, and how to push for effective fixes.
A research brief explaining how work requirements in programs like Medicaid and SNAP reduce coverage, increase administrative costs, and push eligible people deeper into poverty without improving employment outcomes.
This section of the Building Resilience plan outlines strategies to improve the long-term solvency and sustainability of state unemployment insurance (UI) trust funds through better funding practices and legislative reform.
The Modern Government Leaders program brought together federal executive innovators to share best practices and drive service delivery and process modernization.
