Topic: Policies, Standards + Guidance
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Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
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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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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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HHS Plan for Promoting Responsible Use of Artificial Intelligence in Automated and Algorithmic Systems by State, Local, Tribal, and Territorial Governments in the Administration of Public Benefits
This plan promotes responsible AI use in public benefits administration by state, local, tribal, and territorial governments, aiming to enhance program effectiveness and efficiency while meeting recipient needs.
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Use of Publicly Available Generative AI
Guidelines for the use of publicly available generative artificial intelligence (AI) in the State of North Carolina
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Introduction to AI with a focus on Counter Fraud
Raising awareness to counter fraud professionals of AI and potential uses in the detection and prevention of fraud.
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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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Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers
These principles and best practices for AI developers and employers to center the well-being of workers in the development and deployment of AI in the workplace and to value workers as the essential resources they are.
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Introduction to the AI Guide for Government
A guide from the General Service Administration to help government decision makers clearly see what AI means for their agencies and how to invest and build AI capabilities.
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UK Guidelines for AI Procurement
These guidelines provide UK government organizations with best practices for responsibly and effectively procuring artificial intelligence (AI) systems.
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Maryland Department of Internet Technology: 2025 IT Master Plan
The Maryland Information Technology Master Plan 2025 lays out the state’s strategy to modernize IT, expand digital services, and strengthen infrastructure to better serve residents and government agencies.
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Algorithmic Transparency Recording Standard Hub
This hub introduces the UK government's Algorithmic Transparency Recording Standard (ATRS), a structured framework for public sector bodies to disclose how they use algorithmic tools in decision-making.