In this summary, the authors use WBNS data to provide updated estimates of chilling effects in 2023 among immigrant families (i.e., in which the respondent or a family member living with them was not born in the US).
This paper explores how legacy procurement processes in U.S. cities shape the acquisition and governance of AI tools, based on interviews with local government employees.
This report highlights key findings from the Rules as Code Community of Practice, including practitioners' challenges with complex policies, their desire to share knowledge and resources, the need for increased training and support, and a collective interest in developing open standards and a shared code library.
There are frameworks available that could inform the standardization of communicating rules as code for U.S. public benefits programs. The Airtable communicates the differences between the frameworks and tools. Each entry is tagged with different categories that identify the type of framework or tool it is.
This blog summarizes a FormFest session where the Center for Civic Design shared research on how screen reader users navigate voter registration forms and offered guidance for designing more accessible digital and PDF forms.
This factsheet outlines the Administration for Children and Families’ (ACF) 2024 initiatives to promote health equity across its programs by embedding equity into funding, service delivery, and community engagement.
U.S. Department of Health and Human Services (HHS)
This report presents evidence on the use of algorithmic accountability policies in different contexts from the perspective of those implementing these tools, and explores the limits of legal and policy mechanisms in ensuring safe and accountable algorithmic systems.
Building on our February 2022 report Benefit Eligibility Rules as Code: Reducing the Gap Between Policy and Service Delivery for the Safety Net, the Beeck Center’s Digital Benefits Network (DBN) recently held a convening to share progress and potential in digitizing benefits eligibility and to begin addressing how a national approach could be started.
This reporting explores how algorithms used to screen prospective tenants, including those waiting for public housing, can block renters from housing based on faulty information.
This playbook outlines the ways Community Action and human services agencies worked together to meet the pandemic challenge—what worked well, obstacles and difficulties, and lessons learned to inform the path forward, partnering to achieve a more equitable recovery. It also explains how communities have leveraged opportunities to partner on approaches that hold the promise of deeper, longer lasting changes for families—work shaped by families’ wishes and strengths and designed to advance both family-level and systems-level change.
American Public Human Services Association (APHSA)
This is the summary version of a report that 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 report examines how governments use AI systems to allocate public resources and provides recommendations to ensure these tools promote equity, transparency, and fairness.
