Produced By: Non-profit
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Human-Centered Design 
Recoding America at BenCon 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.
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Human-Centered Design 
Lightning Talks at BenCon 2023
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.
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Automation + AI 
The Equitable Tech Horizon in Digital Benefits Panel
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.
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Automation + AI 
Algorithmic Accountability: Moving Beyond Audits
This report explores how despite unresolved concerns, an audit-centered algorithmic accountability approach is being rapidly mainstreamed into voluntary frameworks and regulations.
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Medicaid Strategies Making a Difference: A Spotlight on Rhode Island
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.
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Digital Identity 
Regulating Biometrics: Taking Stock of a Rapidly Changing Landscape
This post reflects on and excerpts from AI Now's 2020 report on biometrics regulation.
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Automation + AI
The Social Life of Algorithmic Harms
This series of essays seeks to expand our vocabulary of algorithmic harms to help protect against them.
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Communications 
Bias-Free Language
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.
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Automation + AI 
Automated Decision-Making Systems and Discrimination
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.
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Automation + AI 
POVERTY LAWGORITHMS: A Poverty Lawyer’s Guide to Fighting Automated Decision-Making Harms on Low-Income Communities
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.
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Policy 
A Safety Net with 100 Percent Participation: How Much Would Benefits Increase and Poverty Decline?
Research examining how much poverty would decrease—overall, by age, and by race and ethnicity—and how much benefits would increase if all people eligible for safety net programs received the full benefits they qualify for in each of the 50 states and DC.
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Automation + AI 
Framing the Risk Management Framework: Actionable Instructions by NIST in their “Govern” Section
This post introduces EPIC's exploration of actionable recommendations and points of agreement from leading A.I. frameworks, beginning with the National Institute of Standards and Technology's AI Risk Management Framework.