Trust in medical artificial intelligence: a discretionary account

被引:0
|
作者
Philip J. Nickel
机构
[1] Eindhoven University of Technology,Department of Philosophy and Ethics, School of Innovation Sciences
来源
关键词
Artificial intelligence; Trust in AI; Discretion; Normative expectations; Future of medicine;
D O I
暂无
中图分类号
学科分类号
摘要
This paper sets out an account of trust in AI as a relationship between clinicians, AI applications, and AI practitioners in which AI is given discretionary authority over medical questions by clinicians. Compared to other accounts in recent literature, this account more adequately explains the normative commitments created by practitioners when inviting clinicians’ trust in AI. To avoid committing to an account of trust in AI applications themselves, I sketch a reductive view on which discretionary authority is exercised by AI practitioners through the vehicle of an AI application. I conclude with four critical questions based on the discretionary account to determine if trust in particular AI applications is sound, and a brief discussion of the possibility that the main roles of the physician could be replaced by AI.
引用
收藏
相关论文
共 50 条
  • [31] Artificial Intelligence and Medical Humanities
    Kirsten Ostherr
    Journal of Medical Humanities, 2022, 43 : 211 - 232
  • [32] Artificial Intelligence in Medical Education
    Maini, Baljeet
    Maini, Ekta
    INDIAN PEDIATRICS, 2021, 58 (05) : 496 - 497
  • [33] Artificial intelligence in medical physics
    Bollmann, Steffen
    Kuestner, Thomas
    Tao, Qian
    Zoellner, Frank G.
    ZEITSCHRIFT FUR MEDIZINISCHE PHYSIK, 2024, 34 (02): : 177 - 178
  • [34] Artificial Intelligence in Medical Applications
    Chan, Yung-Kuan
    Chen, Yung-Fu
    Pham, Tuan
    Chang, Weide
    Hsieh, Ming-Yuan
    JOURNAL OF HEALTHCARE ENGINEERING, 2018, 2018
  • [35] Artificial intelligence and medical imaging
    Sun, Roger
    Deutsch, Eric
    Fournier, Laure
    BULLETIN DU CANCER, 2022, 109 (01) : 83 - 88
  • [36] Artificial intelligence in medical imaging
    Gore, John C.
    MAGNETIC RESONANCE IMAGING, 2020, 68 : A1 - A4
  • [37] Artificial Intelligence and Medical Innovation
    Tan, Eng Chye
    ANNALS ACADEMY OF MEDICINE SINGAPORE, 2020, 49 (04) : 252 - 255
  • [38] Artificial intelligence in medical genomics
    Kamatani, Yoichiro
    Kaname, Tadashi
    JOURNAL OF HUMAN GENETICS, 2024, 69 (10) : 475 - 475
  • [39] Artificial Intelligence in Medical Education
    Garg, Tushar
    AMERICAN JOURNAL OF MEDICINE, 2020, 133 (02): : E68 - E68
  • [40] Artificial Intelligence in Medical Education
    Baljeet Maini
    Ekta Maini
    Indian Pediatrics, 2021, 58 : 496 - 497