| Literature DB >> 35243993 |
Kristin M Kostick-Quenet, I Glenn Cohen, Sara Gerke, Bernard Lo, James Antaki, Faezah Movahedi, Hasna Njah, Lauren Schoen, Jerry E Estep, J S Blumenthal-Barby.
Abstract
When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.Entities:
Keywords: Algorithmic Bias; Artificial Intelligence; Ethics; Machine Learning; Racial Bias
Mesh：
Year: 2022 PMID： 35243993 DOI： 10.1017/jme.2022.13
Source DB: PubMed Journal: J Law Med Ethics ISSN： 1073-1105 Impact factor: 1.718