This resource introduces the "Layer Cake" approach, a framework for driving behavior change in government systems and public services by addressing all layers of service delivery, from frontline staff to policymakers, with an emphasis on human-centered design and civic participation.
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include MAGI Medicaid.
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 brief provides research recommendations to improve programs serving LGBT youth, focusing on homelessness and sexual health education services funded by the U.S. Department of Health and Human Services.
U.S. Department of Health and Human Services (HHS)
This brief outlines research recommendations to better understand and improve income support and employment services for low-income and at-risk LGBT populations.
U.S. Department of Health and Human Services (HHS)
This brief outlines research recommendations to strengthen child welfare services for LGBT youth and adults, focusing on experiences of maltreatment, foster care, and adoption.
U.S. Department of Health and Human Services (HHS)
This report provides an overview of the task force’s work in assessing, guiding, and recommending policies for the safe, ethical, and effective use of generative AI across Alabama’s executive-branch agencies.
State of Alabama Generative Artificial Intelligence (GenAI) Task Force
A comprehensive survey-based analysis of Boston residents’ access to internet, devices, and digital skills, with a focus on equity across priority populations including low-income households, seniors, immigrants, and formerly incarcerated individuals.
In May 2020, Stanford's HAI hosted a workshop to discuss the performance of facial recognition technologies that included leading computer scientists, legal scholars, and representatives from industry, government, and civil society. The white paper this workshop produced seeks to answer key questions in improving understandings of this rapidly changing space.
