Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
This "Styles" section introduces design tokens that encode brand and design decisions for basic style elements like colors, typography, and spacing, ensuring consistency across Government of Canada digital services.
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
This case study examines how Michigan’s Department of Health and Human Services uses data practices to advance racial equity in child welfare through identity-informed data collection and anonymous decision-making.
U.S. Department of Health and Human Services (HHS)
This portfolio page describes how the GSA’s 10x team invested in making federal data easier to find, use, and share—while preventing misuse and harm.
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 report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
Canada’s Digital Standards are a set of principles that guide how public servants design, build, and run government digital services so they’re user-centered, accessible, secure, open, and trustworthy.
An updated guide for public sector and civic data users to embed racial equity and community voice throughout the data life cycle—from planning to dissemination.
This guide outlines ethical frameworks and best practices for responsibly collecting and using demographic and other sensitive data to build equitable digital products.
