Topic: Research
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Envisioning a Human-AI collaborative system to transform policies into decision models
This paper introduces the problem of semi-automatically building decision models from eligibility policies for social services, and presents an initial emerging approach to shorten the route from policy documents to executable, interpretable and standardised decision models using AI, NLP and Knowledge Graphs. There is enormous potential of AI to assist government agencies and policy experts in scaling the production of both human-readable and machine executable policy rules, while improving transparency, interpretability, traceability and accountability of the decision making.
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AI-Powered Rules as Code Government Briefing
The DBN and MDI held a government briefing of their top takeaways from their recent research on AI-Powered Rules as Code.
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Digital Identity Community of Practice 2025 Q3 Meeting: Beneficiary Feedback on Identity Proofing
On July 16, members of the Digital Identity Community of practice gathered to learn how peers are gathering beneficiary feedback on their experiences with accounts and proving their identity.
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Governing Digital Legal Systems: Insights on Artificial Intelligence and Rules as Code
This article explores how AI and Rules as Code are turning law into automated systems, including how governance focused on transparency, explainability, and risk management can ensure these digital legal frameworks stay reliable and fair.
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Exploring Rules Communication: Moving Beyond Static Documents to Standardized Code for U.S. Public Benefits Programs
This brief analyzes the current state of federal and state government communication around benefits eligibility rules and policy and how these documents are being tracked and adapted into code by external organizations. This work includes comparisons between coded examples of policy and potential options for standardizing code based on established and emerging data standards, tools, and frameworks.
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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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Rules as code: Seven levels of digitisation
This report, written for practitioners, classifies “digital transformation” of legal rules into a hierarchy of levels to help establish common terms.