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.
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.
This report highlights the agency's role in transforming federal digital services through human-centered design, agile technology, and cross-agency collaboration.
A policy directive that establishes standards and guidance for federal executive agencies to manage, secure, and deliver public websites and digital services that are user-centered, accessible, and data-driven.
A practical guide that helps agencies choose appropriate acquisition strategies for digital projects based on their maturity with modern delivery practices.
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.
This research visualizes the complex emotional and clinical stages of the maternal mental health experience, from initial pregnancy through postpartum recovery and the return to work.
A four-part U.S. Digital Service blog series detailing how the federal “Birth of a Child and Early Childhood” Life Experience team used human-centered design to improve benefit access, peer support, and maternal mental health services for families with children ages 0–5.
The Federal Government made it easier for the public to share their knowledge, needs, and lived experiences to improve how government works for them and with them.
The document outlines revisions to OMB's SPD No. 15, which updates the standards for collecting and presenting federal race and ethnicity data, including the integration of race and ethnicity questions, the addition of a MENA category, and requirements for more detailed data collection.
