Ethics for Artificial Intelligence: Focus on the Use of Radiology Images

被引:0
作者
Park, Seong Ho [1 ,2 ]
机构
[1] Univ Ulsan, Coll Med, Asan Med Ctr, Dept Radiol, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea
[2] Univ Ulsan, Res Inst Radiol, Coll Med, Asan Med Ctr, 88 Olymp Ro 43 Gil, Seoul 05505, South Korea
来源
JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY | 2022年 / 83卷 / 04期
关键词
Artificial Intelligence; Machine Learning; Medicine; Radiology; Diagnostic Imaging; Ethics;
D O I
10.3348/jksr.2022.0036
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The importance of ethics in research and the use of artificial intelligence (AI) is increasingly recognized not only in the field of healthcare but throughout society. This article intends to provide domestic readers with practical points regarding the ethical issues of using radiological images for AI research, focusing on data security and privacy protection and the right to data. Therefore, this article refers to related domestic laws and government policies. Data security and privacy protection is a key ethical principle for AI, in which proper de-identification of data is crucial. Sharing healthcare data to develop AI in a way that minimizes business interests is another ethical point to be highlighted. The need for data sharing makes the data security and privacy protection even more important as data sharing increases the risk of data breach.
引用
收藏
页码:759 / 770
页数:12
相关论文
共 23 条
[1]  
4th-ir.go, The Presidential Committee on the 4th industrial revolution
[2]  
[Anonymous], 2022, Recommendation on the ethics of artificial intelligence
[3]   Data Sharing An Ethical and Scientific Imperative [J].
Bauchner, Howard ;
Golub, Robert M. ;
Fontanarosa, Phil B. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 315 (12) :1237-1239
[4]  
Futoma J, 2020, LANCET DIGIT HEALTH, V2, pE489, DOI 10.1016/S2589-7500(20)30186-2
[5]  
Geis JR, 2019, CAN ASSOC RADIOL J, V70, P329, DOI [10.1016/j.carj.2019.08.010, 10.1186/s13244-019-0785-8]
[6]   Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement [J].
Geis, J. Raymond ;
Brady, Adrian ;
Wu, Carol C. ;
Spencer, Jack ;
Ranschaert, Erik ;
Jaremko, Jacob L. ;
Langer, Steve G. ;
Kitts, Andrea Borondy ;
Birch, Judy ;
Shields, William F. ;
van Genderen, Robert van den Hoven ;
Kotter, Elmar ;
Gichoya, Judy Wawira ;
Cook, Tessa S. ;
Morgan, Matthew B. ;
Tang, An ;
Safdar, Nabile M. ;
Kohli, Marc .
INSIGHTS INTO IMAGING, 2019, 10 (01)
[7]   Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement [J].
Geis, J. Raymond ;
Brady, Adrian P. ;
Wu, Carol C. ;
Spencer, Jack ;
Ranschaert, Erik ;
Jaremko, Jacob L. ;
Langer, Steve G. ;
Kitts, Andrea Borondy ;
Birch, Judy ;
Shields, William F. ;
van Genderen, Robert van den Hoven ;
Kotter, Elmar ;
Gichoya, Judy Wawira ;
Cook, Tessa S. ;
Morgan, Matthew B. ;
Tang, An ;
Safdar, Nabile M. ;
Kohli, Marc .
RADIOLOGY, 2019, 293 (02) :436-440
[8]  
High-level Expert Group on AI, Ethics guidelines for trustworthy AI, DOI [10.2759/177365, DOI 10.2759/177365]
[9]  
International Committee of Medical Journal Editors, Data sharing
[10]   Canadian Association of Radiologists White Paper on Ethical and Legal Issues Related to Artificial Intelligence in Radiology [J].
Jaremko, Jacob L. ;
Azar, Marleine ;
Bromwich, Rebecca ;
Lum, Andrea ;
Cheong, Li Hsia Alicia ;
Gibert, Martin ;
Laviolette, Francois ;
Gray, Bruce ;
Reinhold, Caroline ;
Cicero, Mark ;
Chong, Jaron ;
Shaw, James ;
Rybicki, Frank J. ;
Hurrell, Casey ;
Lee, Emil ;
Tang, An .
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2019, 70 (02) :107-118