This guide introduces privacy-enhancing technologies (PETs) and provides practical guidance for government agencies on selecting and implementing them to securely use, share, and protect sensitive data.
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
A toolkit that explains how to apply a content-first design approach to public services, helping teams design content strategy and interfaces based on user needs.
This presentation shares user experience research on the challenges, priorities, and opportunities for improving the journey of Bay Area residents seeking affordable housing.
The report examines how AI deployment across state and local public administration such as chatbots, voice transcription, content summarization, and eligibility automation are reshaping government work.
This FormFest profile highlights Riverside County’s pilot of AI-powered interviews that streamline benefit applications, reducing bureaucratic burden on families in crisis while freeing caseworkers to focus on human connection.
This report outlines best practices for developing transparent, accessible, and standardized public sector AI use case inventories across federal, state, and local governments
This research paper explores how government design systems function as the “translation layer” of digital public infrastructure, transforming technical systems into accessible, trustworthy citizen experiences.
This brief examines how direct cash transfers (DCTs) can improve maternal and infant health outcomes, particularly among low-income and racially marginalized populations, by reducing poverty during pregnancy and early parenthood
