This page describes how the GSA’s 10x team supported digital trust and security across federal services by building shared tools, automating compliance, and exploring privacy-preserving techniques.
This page provides a U.S. Web Design System pattern for collecting race and ethnicity information in user profiles in a way that respects identity, supports data standards, and promotes inclusion.
This annual report details Massachusetts' strategic advancements in digital transformation, cybersecurity, and data services, emphasizing modernization efforts and enhanced constituent engagement.
The Commonwealth of Massachusetts Executive Office of Technology Services and Security (EOTSS)
This summary outlines statewide progress in improving digital services, reducing administrative burdens, and elevating customer satisfaction through human-centered and data-informed government design.
This one-pager introduces Iowa’s Child Care Data Dashboards, which provide near real-time insights into child care supply, demand, and vacancies to support data-informed planning across the state.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
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 executive order establishes governance, values, and oversight structures for the ethical and responsible use of generative AI technologies within the Commonwealth of Pennsylvania.
This profile provides a cross-sectoral profile of the AI Risk Management Framework specifically for Generative AI (GAI), outlining risks unique to or exacerbated by GAI and offering detailed guidance for organizations to govern, map, measure, and manage those risks responsibly.
National Institute of Standards and Technology (NIST)
