These guidelines provide UK government organizations with best practices for responsibly and effectively procuring artificial intelligence (AI) systems.
This is a monorepo managing the web components of the Government of Canada's Design System, facilitating the creation of consistent and accessible digital services.
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
This resource offers practical strategies for early childhood programs to create inclusive, affirming environments for LGBTQIA2S+ families and their children.
U.S. Department of Health and Human Services (HHS)
This blog explains how to provide culturally and linguistically appropriate services to individuals who have experienced trafficking, emphasizing the importance of cultural competence and the CLAS Standards.
U.S. Department of Health and Human Services (HHS)
Executed April 3, 2025, this memo provides federal agencies with government-wide guidance for accelerating AI adoption through innovation, governance, and public trust.
A guiding framework for designing, building, buying, and maintaining digital government services in Nova Scotia that emphasizes trust, inclusivity, sustainability, and public value.
This report highlights the agency's role in transforming federal digital services through human-centered design, agile technology, and cross-agency collaboration.
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 blog post shares findings from the February 2025 AI Trust Study on Canada.ca, revealing how Canadians perceive government AI and what builds trust.
