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.
When creating a user profile, this U.S. Web Design System pattern helps users to provide gender identity and sex information in an accurate and respectful manner.
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.
A toolkit that outlines seven practical steps for government agencies to build or strengthen a communications program aligned with audience needs and organizational goals.
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.
