Reducing bias in healthcare artificial intelligence: A white paper.
Journal:
Health informatics journal
PMID:
39541598
Abstract
Mitigation of racism in artificial intelligence (AI) is needed to improve health outcomes, yet no consensus exists on how this might be achieved. At an international conference in 2022, experts gathered to discuss strategies for reducing bias in healthcare AI. This paper delineates these strategies along with their corresponding strengths and weaknesses and reviews the existing literature on these strategies. Five major themes resulted: reducing dataset bias, accurate modeling of existing data, transparency of artificial intelligence, regulation of artificial intelligence and the people who develop it, and bringing stakeholders to the table.