HHS Artificial Intelligence Strategy Version 1.0 of the U.S. Department of Health and Human Services strategy for leveraging artificial intelligence to improve health, human services delivery, scientific research, and internal operations. Governing Authorities and Mandates: ^^ * America’s AI Action Plan ^ * EO 14179 ^ * OMB M-25-21 and M-25-22 ^ * HIPAA constraints ^ * NIST AI RMF (referenced as guiding framework) ^^ Submitter's Note: This StratML rendition was compiled from the source by ChatGPT and lightly edited in the form at https://stratml.us/forms/Claude/Part1.html U.S. Department of Health and Human Services HHS af514b23-862d-4d1b-bdf1-f51cfd689de1 The U.S. federal department charged with enhancing the health and well-being of all Americans. Robert F. Kennedy, Jr. Secretary, U.S. Department of Health and Human Services Jim O'Neill Deputy Secretary of Health and Human Service Clark Minor Chief Information Officer, Acting Chief Artificial Intelligence Officer Health and Human Service A healthier America enabled by trustworthy, effective, and innovative use of artificial intelligence. uuid-vision-hhs-ai To enhance the health and well-being of all Americans by providing for effective health and human services and by fostering sound, sustained advances in the sciences underlying medicine, public health, and social services. uuid-mission-hhs Public Trust Upholding public confidence through transparent, accountable, and responsible use of AI Scientific Rigor Commitment to reproducibility, transparency, and unbiased evaluation in AI-enabled research and decision-making. Privacy & Security Protecting individuals’ health information and ensuring secure, lawful use of AI systems. Human Dignity Ensuring AI augments human judgment and improves outcomes without undermining individual rights or care relationships. Public Stewardship Responsible management of public funds through shared infrastructure, reuse, and measurable return on investment. Collaboration Advancing shared outcomes through cross-division, cross-sector, and public-private cooperation. Governance & Risk Management Ensure that the use of artificial intelligence across HHS is governed responsibly, manages risk proportionately, and sustains public trust. 2e8a52e1-dfaf-4d6d-9ee4-44fbcd276a97 1 Risk Practices Establish standardized minimum risk-management practices for high-impact AI, including testing, impact assessments, independent review, monitoring, and safe termination. 112cddad-1816-408c-9c11-2438f0188e30 1.1 Transparency Maintain a comprehensive AI use-case inventory, designate high-impact AI, and publish plain-language summaries where appropriate. 05225409-5116-4964-af57-72114677daf3 1.2 Infrastructure & Platforms Design and operate shared AI infrastructure and platforms that meet user needs and enable scalable, cost-effective innovation across HHS. 19f835ef-e9d2-422e-b65e-b925443fa8e5 2 Data Infrastructure Support AI-ready data infrastructure aligned with FAIR principles to enable secure, privacy-preserving access to HHS data. c8170248-72b0-4774-9c95-6b44d5d6bc2b 2.1 Cost Effectiveness Integrate governance and monitoring mechanisms to ensure efficient, cost-effective use of shared AI platforms. ff4273ff-f424-4b51-8548-f299c0c315a1 2.2 Workforce Development Equip the HHS workforce with the skills, tools, and culture necessary to use AI responsibly while reducing administrative burden. 2176443a-f479-402b-92eb-d8531dd54382 3 Training Pathways Establish role-based AI training pathways aligned with mission functions and skill levels. 1f3d1e63-45c5-43f5-aacd-c524ec373789 3.1 AI Tools Deploy secure, approved AI tools integrated with HHS systems while tracking performance and security metrics. 54fc1cf2-ce5e-442e-9501-54d38922a88a 3.2 Research & Reproducibility Foster health research that applies AI in accordance with gold-standard scientific principles of rigor, transparency, and reproducibility. 67927c92-2daa-4dd7-a276-ad0c75f6b497 4 Reproducible Science Promote reproducible AI-enabled research pipelines, including standardized protocols, data practices, and transparency requirements. f185deff-97bf-4091-9a47-3aa433b72bc6 4.1 Open Collaboration Encourage lawful and safe use of open datasets, open interfaces, and pre-competitive collaboration with academia and industry. 2f87c2f6-943b-4a97-b230-8def6903b393 4.2 Care & Public Health Enable modernization of health care and public health delivery through outcomes-focused integration of AI. f71e295b-0f5f-4564-8283-0dcbc703a3e9 5 Priority Conditions Identify and address priority health conditions and public health challenges using AI-enabled tools. a086e742-0790-4e9d-9ff7-daef6e8844cb 5.1 Clinical Support Promote adoption of AI tools that augment clinical decision-making, early warning, risk stratification, and proactive outreach. 3097bdbb-d3d0-4829-9560-fd9daa06313a 5.2 2025-09-30 2026-01-18 https://www.hhs.gov/sites/default/files/hhs-artificial-intelligence-strategy.pdf Owen Ambur Owen.Ambur@verizon.net