The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
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)
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)
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.
This dashboard highlights key performance indicators for UI systems nationwide, including how they perform during the current economic crisis, the impact of the CARES Act benefits expiring, the timeline for which benefits are delivered, demographics of benefits recipients, and total benefits payments.
