Federal Health Tech Leaders Combat AI Bias

30m watch

Federal Health Tech Leaders Combat AI Bias

Tue, 05/09/2023

Last year, the White House Office of Science and Technology Policy (OSTP) released a “Blueprint for an AI Bill of Rights,” which requires agencies to responsibly develop and implement automated systems, guided by five core protections.

Federal leaders discuss how they are tackling the challenges around AI to meet mission needs in health care.

Stay in the know

Subscribe now to receive our curated newsletters

Featuring

Dr. Gil Alterovitz Director, NAII, VA
Dr. Gil Alterovitz
- Director, NAII
- VA
Dr. Gil Alterovitz is the inaugural Director of the National Artificial Intelligence Institute (NAII) at the U.S. Department of Veterans Affairs, represents the agency as a Responsible AI Official (RAIO), and is a bestselling author. He has a PhD in electrical and biomedical engineering from MIT. Throughout his career at the U.S. Department of Veterans Affairs (VA), Dr. Alterovitz has led national and international collaborative initiatives for developing novel informatics methods and approaches for integrating clinical, pharmaceutical, and genomic information, from research to point-of-care.

As the NAII director, Dr. Alterovitz focuses on helping VA develop AI R&D capacity to help Veterans in the Office of Research and Development. The NAII also brought together 20+ offices to develop the VA AI Strategy. Dr. Alterovitz is also one of the core authors of The National AI R&D Strategic Plan produced by the White House Office of Science Technology.  In addition, he is on the faculty at Harvard Medical School. He has produced over 80 peer-reviewed publications and three books in his research field. He has been an international Fulbright awardee twice- once to Canada and a second time to the UK as a Fulbright Scholar.
Dr. Sameer Antani Principal Investigator, National Library of Medicine, NIH
Dr. Sameer Antani
- Principal Investigator, National Library of Medicine
- NIH
Dr. Sameer Antani is a Principal Investigator at the National Library of Medicine (NLM), part of the National Institutes of Health (NIH). His research interests include characterizing data for reliable predictions with medical imaging and related information toward advancing machine learning and artificial intelligence in medicine. Dr. Antani is a Fellow of the American Institute for Medical and Biological Engineering (AIMBE), and Senior Member of the International Society of Photonics and Optics (SPIE) and the Institute of Electrical and Electronics Engineers (IEEE), respectively. He earned his M. Eng. and Ph.D. degrees in Computer Science and Engineering from The Pennsylvania State University and his B. E. (with Distinction) in Computer Engineering from the Savitribai Phule Pune University, India.