Title of article
The Ethics of Artificial Intelligence in Pathology and Laboratory Medicine: Principles and Practice
Author/Authors
Jackson, Brian R. Department of Pathology - University of Utah School of Medicine, Salt Lake City, UT, USA , Ye, Ye Department of Biomedical Informatics - University of Pittsburgh School of Medicine, Pittsburgh, PA, USA , Crawford, James M. Department of Pathology and Laboratory Medicine - Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA , Becich, Michael J. Department of Biomedical Informatics - University of Pittsburgh School of Medicine, Pittsburgh, PA, USA , Roy, Somak Division of Pathology - Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA , Botkin, Jeffrey R. Department of Pediatrics - University of Utah School of Medicine, Salt Lake City, UT, USA , de Baca, Monica E. Pacific Pathology Partners, Seattle, WA, USA , Pantanowitz, Liron Department of Pathology - University of Michigan, Ann Arbor, MI, USA
Pages
12
From page
1
To page
12
Abstract
Growing numbers of artificial intelligence applications are being developed and applied to pathology and laboratory medicine. These technologies introduce risks and benefits that must be assessed and managed through the lens of ethics. This article describes how long-standing principles of medical and scientific ethics can be applied to artificial intelligence using examples from pathology and laboratory medicine.
Keywords
ethics , artificial intelligence , machine learning , algorithms , privacy , big data
Journal title
Academic Pathology
Serial Year
2021
Record number
2615054
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