Federal Approach to AI Infrastructure and the Workforce | GovCIO Media & Research

Deep Dives

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Deep Dives

March 17, 2022

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.

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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.

Deep Dive

ai_infrastructure_deep_dive_0_0.pdf5.5 MB

Deep Dive

Featuring

Maj. Andrew Armstrong

Chief of Data Integration, Kessel Run, U.S. Air Force

Qi Duan

Program Director, Division of Health Informatics Technologies, NIH

Rafael Fricks

Lead AI tech sprints coordinator, VA

Diana Gehlhaus

Research Fellow, Center for Security and Emerging Technology, Georgetown University

Pamela Isom

Director, Artificial Intelligence and Technology Office, U.S. Department of Energy

Dr. Amy Justice

Public Health Professor, Yale University; Leading Clinical Epidemiologist, VA

Laura Kurup

Chief Data & Analytics Officer, Federal Reserve Bank of New York

Oki Mek

Chief AI Officer, U.S. Department of Health & Human Services

Michael Sellitto

Human-Centered AI Deputy Director, Stanford University

Brett Vaughn

Chief AI Officer, U.S. Navy

Jonathan Weiner

Co-Director, Johns Hopkins Center for Population Health IT

David Womble

AI Program Director, Oak Ridge National Laboratory