Topic: Automation + AI
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NAIAC Insights for the Administration of President Donald J. Trump
This draft report offers AI policy recommendations to guide the incoming Trump administration’s efforts to enhance U.S. leadership in AI.
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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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MITRE at Policy2Code Demo Day at BenCon 2024
The team aimed to automate applying rules efficiently by creating computable policies, recognizing the need for AI tools to convert legacy policy content into automated business rules using Decision Model Notation (DMN) for effective processing and monitoring.
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PolicyEngine at Policy2Code Demo Day at BenCon 2024
The team developed an AI-powered explanation feature that effectively translates complex, multi-program policy calculations into clear and accessible explanations, enabling users to explore "what-if" scenarios and understand key factors influencing benefit amounts and eligibility thresholds.
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Enabling Principles for AI Governance
A report from the Center for Security and Emerging Technology (CSET) discussing enabling principles for artificial intelligence (AI) governance.
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Surveillance, Discretion and Governance in Automated Welfare
This academic article develops a framework for evaluating whether and how automated decision-making welfare systems introduce new harms and burdens for claimants, focusing on an example case from Germany.
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Screened & Scored in the District of Columbia
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.