Multidisciplinary considerations of fairness in medical AI: A scoping review.

Journal: International journal of medical informatics
Published Date:

Abstract

INTRODUCTION: Artificial Intelligence (AI) technology has been developed significantly in recent years. The fairness of medical AI is of great concern due to its direct relation to human life and health. This review aims to analyze the existing research literature on fairness in medical AI from the perspectives of computer science, medical science, and social science (including law and ethics). The objective of the review is to examine the similarities and differences in the understanding of fairness, explore influencing factors, and investigate potential measures to implement fairness in medical AI across English and Chinese literature.

Authors

  • Yue Wang
    Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Yaxin Song
    School of Law, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, 710049, PR China. Electronic address: yaxin0118@stu.xjtu.edu.cn.
  • Zhuo Ma
    School of Law, Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, 710049, PR China. Electronic address: mz00727@126.com.
  • Xiaoxue Han
    Xi'an Jiaotong University Library, No.28, Xianning West Road, Xi'an, Shaanxi, 710049, PR China. Electronic address: hanxiaoxue011@xjtu.edu.cn.