FAIR: a recipe for ensuring fairness in healthcare artificial intelligence

Springer Science and Business Media LLC - Tập 42 - Trang 1-2 - 2023
Takashi Yoshiura1, Shigeru Kiryu2
1Department of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
2Department of Radiology, International University of Health and Welfare Narita Hospital, Narita, Japan

Tài liệu tham khảo

Angwin J, Larson J, Mattu S, Kirchner L [Internet]. Machine bias; 2016. Available from https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing. Accessed 17 July 2023. Obermeyer Z, Powers B, Vogeli C, Mullainathan S. Dissecting racial bias in an algorithm used to manage the health of populations. Science. 2019;366:447–53. Barocas S, Selbst AD. Big Data’s disparate impact. Cal L Rev. 2014;104:671–731. Ueda D, Kakinuma T, Fujita S, Kamagata K, Fushimi Y, Ito R, et al. Fairness of artificial intelligence in healthcare: review and recommendations. Jpn J Radiol. 2023. https://doi.org/10.1007/s11604-023-01474-3.