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Federal Approach to AI Infrastructure and the Workforce

Federal Approach to AI Infrastructure and the Workforce

Many discussions about infrastructure in federal technology center around physical infrastructure — the hardware, software and, of course, the personnel necessary to maintaining and managing all IT operations. But for artificial intelligence, discussions pivot to include more theory and soft skills. This Deep Dive features discussions from federal leaders on the backbones that make up a federal agency’s approach to AI.

Download this Deep Dive to learn more about:

  • Ethical AI and the Department of Health and Human Services’ new trustworthy AI framework.
  • Key steps leaders at HHS, NASA and the Defense Department are taking to implement AI.
  • How data management and interoperability enable AI to succeed.
Federal Approach to AI Infrastructure and the Workforce
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  • Maj. Andrew Armstrong
    Maj. Andrew Armstrong Chief of Data Integration, Kessel Run, U.S. Air Force
  • Qi Duan
    Qi Duan Program Director, Division of Health Informatics Technologies, NIH
  • Rafael Fricks
    Rafael Fricks Lead AI tech sprints coordinator, VA
  • Diana Gehlhaus
    Diana Gehlhaus Research Fellow, Center for Security and Emerging Technology, Georgetown University
  • Pamela Isom
    Pamela Isom Director, Artificial Intelligence and Technology Office, U.S. Department of Energy
  • Dr. Amy Justice
    Dr. Amy Justice Public Health Professor, Yale University; Leading Clinical Epidemiologist, VA
  • Laura Kurup
    Laura Kurup Chief Data & Analytics Officer, Federal Reserve Bank of New York
  • Oki Mek
    Oki Mek Chief AI Officer, U.S. Department of Health & Human Services
  • Brett Vaughn
    Brett Vaughn Chief AI Officer, U.S. Navy
  • Jonathan Weiner
    Jonathan Weiner Co-Director, Johns Hopkins Center for Population Health IT
  • David Womble
    David Womble AI Program Director, Oak Ridge National Laboratory
  • Michael Sellitto
    Michael Sellitto Human-Centered AI Deputy Director, Stanford University
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