Federal Approach to AI Infrastructure and the Workforce

Thu, 03/17/2022

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.

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.

Download the Deep Dive PDF

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Featuring

Maj. Andrew Armstrong Chief of Data Integration, Kessel Run, U.S. Air Force
Maj. Andrew Armstrong
- Chief of Data Integration, Kessel Run
- U.S. Air Force
Qi Duan Program Director, Division of Health Informatics Technologies, NIH
Qi Duan
- Program Director, Division of Health Informatics Technologies
- NIH
Rafael Fricks Lead AI tech sprints coordinator, VA
Rafael Fricks
- Lead AI tech sprints coordinator
- VA
Diana Gehlhaus Research Fellow, Center for Security and Emerging Technology, Georgetown University
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
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
Dr. Amy Justice
- Public Health Professor, Yale University; Leading Clinical Epidemiologist
- VA
Laura Kurup Chief Data & Analytics Officer, Federal Reserve Bank of New York
Laura Kurup
- Chief Data & Analytics Officer
- Federal Reserve Bank of New York
Oki Mek Chief AI Officer, U.S. Department of Health & Human Services
Oki Mek
- Chief AI Officer
- U.S. Department of Health & Human Services
Brett Vaughn Chief AI Officer, U.S. Navy
Brett Vaughn
- Chief AI Officer
- U.S. Navy
Jonathan Weiner Co-Director, Johns Hopkins Center for Population Health IT
Jonathan Weiner
- Co-Director
- Johns Hopkins Center for Population Health IT
Dr. Jonathan P. Weiner is a professor of Health Policy and Management at the Johns Hopkins University Bloomberg School of Public Health. He holds a joint appointment in health sciences informatics at the Johns Hopkins School of Medicine.

Dr. Weiner’s research focuses on health care services and evaluation, health care policy analysis and the application of information technology (IT) to public and population health. This includes the application of electronic health records and health information technology in population-based performance measurement and predictive modeling and analytics.

A pioneer in the use of health care data, Dr. Weiner is an internationally renowned researcher, policy analyst and speaker. He is the founding director of the Johns Hopkins Center for Population Health Information Technology, director of the Bloomberg School’s Public Health Informatics Certificate Program and the co-developer of the Johns Hopkins ACG® System, a sophisticated tool used to measure patient morbidity.

His areas of expertise include managed care and integrated health care delivery systems, predictive modeling, risk adjustment and healthcare analytics, health care IT and health system integration, quality of care measurement, health workforce deployment and planning and cross-national comparisons in the primary care sector.

Dr. Weiner has authored or co-authored more than 150 peer-reviewed scholarly articles. A frequent guest and commentator on national and local National Public Radio radio shows and local PBS television, he often serves as a consultant to integrated delivery systems and managed care organizations nationally and worldwide.

Dr. Weiner earned his DrPH in health services research from the Bloomberg School of Public Health and his MS in health administration from the University of Massachusetts. He also holds a BA in human biology from the University of Pennsylvania.

He is a Fellow of AcademyHealth – formerly known as the Academy for Health Services Research and Policy – and a member of a number of quality- and health IT-related expert panels at the National Quality Forum, the National Committee for Quality Assurance and the Centers for Medicare & Medicaid Services.
David Womble AI Program Director, Oak Ridge National Laboratory
David Womble
- AI Program Director
- Oak Ridge National Laboratory
Michael Sellitto Human-Centered AI Deputy Director, Stanford University
Michael Sellitto
- Human-Centered AI Deputy Director
- Stanford University