This report explains how the A-87 Exception enabled states to modernize and integrate health and human services systems, improving service delivery, efficiency, and data sharing across programs.
American Public Human Services Association (APHSA)
In this piece, the Digital Benefits Network shares several sources—from journalistic pieces, to reports and academic articles—we’ve found useful and interesting in our reading on automation and artificial intelligence.
Initially created for and shared with staff at the Administration for Children and Families, this webinar provides an introduction to Universal Design, covering plain language, accessibility, user research, and Agile development.
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
Algorithmic impact assessments (AIAs) are an emergent form of accountability for organizations that build and deploy automated decision-support systems. This academic paper explores how to co-construct impacts that closely reflects harms, and emphasizes the need for input of various types of expertise and affected communities.
ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT)
This report examines how the U.S. federal government can enhance the efficiency and equity of benefit delivery by simplifying eligibility rules and using a Rules as Code approach for digital systems.
Drawing on the Beeck Center’s research on government, nonprofit, academic, and private sector organizations that are working to improve access to safety net benefits, this report highlights best practices for creating accessible benefits content.
Innovators inside and outside of government are working to improve access to the social safety net using data, technology, and design. This report highlights innovations carried out by The Rockefeller Foundation’s Data and Technology grantees from 2018 to 2021, including extraordinary efforts to meet the challenges of the pandemic. Those grantees are: Benefits Data Trust, Code for America, Georgetown University’s Beeck Center for Social Impact and Innovation, U.S. Digital Response, and the Digital Innovation and Governance Initiative at New America. In 2020, these projects secured more than $200 million in benefits for close to 100,000 people across at least 36 states, and helped millions more through policy change, training, and guidance.
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
This issue brief illustrates the challenges that many older adults with low income face in gaining access to benefits online. It addresses digital literacy, access to broadband internet, and the increasing prevalence of connecting online to SNAP.
