Intended Audience: Tribal/Indigenous Government: Legislative Branch
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Red-Teaming in the Public Interest
This report explores how red-teaming practices can be adapted for generative AI in ways that serve the public interest.
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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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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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How to determine whether AI is an appropriate solution for public sector challenges
This toolkit provides a checklist of items to help determine whether AI-powered tools are appropriate for specific use cases in the public sector.
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Improving RFPs with User Research How “Summary Sheets” Can Improve Solicitations
This report explores how "summary sheets" can improve government IT procurement by making RFPs clearer and easier for vendors to evaluate.
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Accessibility for Teams
A ‘quick-start’ guide for embedding accessibility and inclusive design practices into your team’s workflow.
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Which Medicaid Recipients Might Be Eligible for SSI?
This study uses machine learning models on Medicaid data to estimate that the take-up rate for children's Supplemental Security Income (SSI) is approximately 70%, identifying potentially eligible children who often have higher health care utilization than current SSI recipients.
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AI and Benefits: When Tech Becomes Policy
This panel discussion from the Academy's 2025 Policy Summit explores the intersection of artificial intelligence (AI) and public benefits, examining how technological advancements are influencing policy decisions and the delivery of social services.
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Digital Identity Community of Practice Kick-Off
This video documents the Digital Benefits Network's Digital Identity Community of Practice launch, covering mission review, 2025 goals, California authentication innovations, and peer networking for equitable and effective digital identity in public benefits.
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InnovateUS What Works: Fast Field Scanning with AI Course
This course is designed to help public professionals accelerate the process of finding and implementing urgently-needed evidence-based solutions to public problems.
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The Effect of Means-Tested Transfers on Work: Evidence from Quasi-Randomly Assigned SNAP Caseworkers
A recent study challenges the common belief that income support programs like SNAP reduce employment, finding that for individuals with a work history, receiving SNAP benefits can actually increase long-term employment.
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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.