Executed on September 24, 2024, a memorandum for the heads of executive departments and agencies on advancing the responsible acquisition of artificial intelligence in government.
USWDS provides a new library of guidance and examples focused on key digital interactions that foster effective. inclusive, and equitable digital experiences.
The blog post emphasizes advancements in digital services, user engagement, and inter-agency collaborations that enhanced public access to government services.
The AI RMF Playbook offers organizations detailed, voluntary guidance for implementing the NIST AI Risk Management Framework to map, measure, manage, and govern AI risks effectively.
National Institute of Standards and Technology (NIST)
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.
This blog post shares findings from the February 2025 AI Trust Study on Canada.ca, revealing how Canadians perceive government AI and what builds trust.
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.
A guidance resource for state and local governments outlining first-step actions to prepare for compliance with the new web and mobile accessibility rule under Americans with Disabilities Act (ADA).
This resource provides state agencies and their implementation partners with context on how and why to conduct a Digital Identity Risk Management (DIRM) process, as well as a new spreadsheet-based tool to guide agency teams through the process.
A collection that provides a comprehensive operational toolkit to help civil servants and public sector organizations deploy artificial intelligence safely, effectively, and securely.
