Intended Audience: Academic
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AI-Powered Rules as Code: Experiments with Public Benefits Policy
This report 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.
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Expectations vs. reality: Retention challenges and strategies for U.S. state and local government digital services teams
This paper examines the challenges U.S. state and local digital service teams face in retaining talent and offers strategies to improve retention and team stability.
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The Impact of Benefits Cliffs and Asset Limits on Low-Wage Workers: New Evidence From a Nationally Representative Survey
This report presents new national survey data showing how benefits cliffs and asset limits negatively affect the economic mobility of low-wage workers in the U.S.
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. This academic study presents an approach to evaluate bias present in automated facial analysis algorithms and datasets.
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Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts
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.
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Reducing Administrative Burdens: The U.S. Federal Government Framework
This brief outlines the U.S. federal government’s framework to identify, reduce, and address administrative burdens through a series of executive orders, legislative actions, and updated policies focused on improving customer experience and increasing access to government benefits.
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2024 Edition: Account Creation and Identity Proofing in Online Child Care Assistance Program (CCAP) Applications
This page includes data and observations about account creation and identity proofing steps specifically for online applications that include CCAP.
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AI-Powered Rules as Code: Experiments with Public Benefits Policy: Summary + Key Takeaways
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.
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Recap: Digital Identity Community of Practice Kick-Off
The Digital Identity Community of Practice kick-off event featured key resources, a new research publication on account creation and identity proofing, and insights from multiple speakers.
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Confidentiality Toolkit
This toolkit provides guidance to protect participant confidentiality in human services research and evaluation, including legal frameworks, risk assessment strategies, and best practices.
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SCAM GPT: GenAI and the Automation of Fraud
This report analyzes the growing use of generative AI, particularly large language models, in enabling and scaling fraudulent activities, exploring the evolving tactics, risks, and potential countermeasures.
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Digital Doorways to Public Benefits: Beneficiary Experiences with Digital Identity: Executive Summary
Led by the Digital Benefits Network in partnership with Public Policy Lab, the Digital Doorways research project amplifies the lived experiences of beneficiaries to provides new insights into people’s experiences with digital identity processes and technology in public benefits. This executive summary gives an overview of the project’s findings.