This guide explains the U.S. Digital Service’s “discovery sprint,” a process by which teams can quickly build a common understanding of the status of complex organization, system, or service.
This blog discusses the importance of phased rollouts for government software products, emphasizing the benefits of starting small, gathering real-world user feedback, and resolving issues before a full public release.
This memorandum provides guidance to Federal agencies on how to broaden public participation and community engagement to improve government decision-making, enhance transparency, and build trust by engaging with communities, especially underserved groups.
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.
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.
This report summarizes progress made with agencies and members of the public to identify and reduce burdens that individuals, families, and small businesses face every day when interacting with government programs.
Study by the Director of the Office of Management and Budget assessing methods for determining whether agency policies and actions create or exacerbate barriers to full and equal participation by eligible individuals. This study followed the Executive Order on racial equity.
This handbook highlights the flexibilities in the Federal Acquisition Regulation (FAR) that can help agencies implement “plays” from the Digital Services Playbook, with a particular focus on how to use contractors to support an iterative, customer-driven software development process.
In accordance with Executive Order 13960, Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government, Federal agencies began publishing their first annual inventories of artificial intelligence (AI) use cases in June 2022.
The White House Office of Science and Technology Policy has identified five principles that should guide the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence. These principles help provide guidance whenever automated systems can meaningfully impact the public’s rights, opportunities, or access to critical needs.
