This post from the Center on Budget and Policy Priorities argues that the traditional measures of program performance say little about the human experience of accessing benefits, and argues for enhanced performance metrics to support more human-centered delivery.
Hear perspectives on topics including centering beneficiaries and workers in new ways, digital service delivery, digital identity, and automation.This video was recorded at the Digital Benefits Conference (BenCon) on June 14, 2023.
Jennifer Pahlka, Deputy CTO in President Obama’s Administration and author, shares her new book, Recoding America on how government must be equipped for digital delivery in order to meet ambitious policy goals. This video was recorded at the Digital Benefits Conference (BenCon) at Georgetown University on June 14, 2023.
The UI Technology Coordinating Coalition hosted a virtual conversation on April 13, 2023 focused on recent developments in unemployment insurance (UI) modernization efforts with guests from the U.S. Department of Labor's Office of UI Modernization and the Illinois Department of Employment Security.
Lightning talks on innovative ideas, approaches, and pilots to understand and improve benefits delivery. This video was recorded at the Digital Benefits Conference (BenCon) at Georgetown University on June 14, 2023.
Sharing lessons learned via the Medicaid Churn Learning Collaborative, which is working to reduce Medicaid churn, improve renewal processes for administrators, and protect health insurance coverage for children and families.
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
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 guidebook offers an introduction to the risks of discrimination when using automated decision-making systems. This report also includes helpful definitions related to automation.
This guide, directed at poverty lawyers, explains automated decision-making systems so lawyers and advocates can better identify the source of their clients' problems and advocate on their behalf. Relevant for practitioners, this report covers key questions around automated decision-making systems.
