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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.
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U.S. HHS: Strategic Plan for the Use of Artificial Intelligence in Health, Human Services, and Public Health
The strategic plan outlines intentions to responsibly leverage artificial intelligence (AI) to enhance health, human services, and public health by promoting innovation, ethical use, and equitable access across various sectors, while managing associated risks.
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OMB M-25-22 Driving Efficient Acquisition of Artificial Intelligence in Government
Executed April 3,2025, this memorandum provides guidance to federal agencies on the efficient and secure acquisition of AI systems and services.
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Executive Order on Removing Barriers to American Leadership in Artificial Intelligence
Signed on January 23, 2025, this executive order seeks to solidify the United States' leadership in artificial intelligence
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AI & Inclusive Hiring Framework
This framework provides voluntary guidance to help employers use AI hiring technology in ways that are inclusive of people with disabilities, while aligning with federal risk management standards.
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NIST AI Risk Management Framework Playbook
The AI RMF Playbook offers organizations detailed, voluntary guidance for implementing the NIST AI Risk Management Framework to map, measure, manage, and govern AI risks effectively.
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Use of Advanced Automation in SNAP: Feb 2025 Revision
This 2025 memo outlines updated guidelines for state agencies' use of advanced automation in SNAP administration.
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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.