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.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
A practical, plain-language guide offering public-sector procurement and technology teams actionable tools and best practices for procuring AI responsibly and effectively.
An online course that introduces core concepts of web accessibility, including why it matters, key standards, and how to make digital content accessible to a wider range of people and situations.
Recapping the work and achievements of the Digital Benefits Network (DBN), Digital Service Network (DSN), and the State Chief Data Officers Network (CDO) in 2025.
A reusable UI design template showcasing key interface patterns, components, and layout structures for the Seattle Next Move digital service to support consistent, user-centered design across screens.
This fact sheet outlines a landmark final rule updating Title II regulations of the Americans with Disabilities Act (ADA) regarding the accessibility of web content and mobile applications.
A practical example showing how to estimate and structure firm-fixed-price costs for agile software development task orders using iteration-based pricing and performance metrics.
A virtual event showcasing how one city applied technology, including artificial intelligence, to streamline municipal code administration and reduce bureaucratic friction.
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 practical, step-by-step guide for government agencies to design, implement, and evaluate community engagement efforts around the use of artificial intelligence.
