Artificial Intelligence Bias in Health Care: Web-Based Survey.

Carina Nina Vorisek Caroline Stellmach Paula Josephine Mayer Sophie Anne Ines Klopfenstein Dominik Martin Bures Anke Diehl Maike Henningsen Kerstin Ritter Sylvia Thun

Published in: Journal of medical Internet research (2023)

This study shows that the perception of biases in AI overall is moderately fair. Gender minorities did not once rate their AI development as fair or very fair. Therefore, further studies need to focus on minorities and women and their perceptions of AI. The results highlight the need to strengthen knowledge about bias in AI and provide guidelines on preventing biases in AI health care applications.

Keyphrases

artificial intelligence
healthcare
machine learning
big data
deep learning
primary care
metabolic syndrome
pregnant women
cross sectional
polycystic ovary syndrome
clinical practice
adipose tissue
social media
breast cancer risk