This page provides a U.S. Web Design System pattern for collecting pronoun information in user profiles in a way that respects identity, supports data standards, and promotes inclusion.
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.
A plain-language overview explaining how federal law regulates automated calls and text messages to the public, including when consent is required and who is exempt.
In this blog post, we’ve detailed some of the steps we take to help capture the best data possible when conducting interviews. This post is intended as a guide for people who need to conduct user interviews and for people simply curious about how we work.
Government leaders discuss how to ensure seamless access to public benefits through breaking down silos, user-friendly digital identities, and privacy-focused security measures.
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
It is frequently assumed that when rules are implemented as code, a rules engine is necessary. However, it is possible for policy people and engineers to effectively work together to code logic that drives technological system without needing a mediating rules engine at all.
The GSA’s Service Design program implemented a data-driven evaluation process to enhance digital experiences, improve compliance, and streamline its website portfolio, achieving significant cost savings and customer-centric digital transformation.
