'Trust me, I’m algorithm-driven' : an ethical analysis of translocating trust from physician to AI-systems
- Author
- Seppe Segers (UGent)
- Organization
- Abstract
- Trust-related challenges occupy a prominent position in the context of algorithm-driven medical technologies such as mHealth apps and personalized medicine. The pervasiveness of such ‘trust-talk’ is now also finding entrance into policy documents, which is illustrated by the position of the European Commission on the trustworthy implementation of AI in autonomous systems. Upon closer inspection, however, the belief that patients should be able to trust AI in a similar way to physicians may seem surprising. After all, one often cited incentive to move towards such AI-driven technology is to enhance healthcare users’ control over their own care and reduce the need to trust in the physician’s capacity to heal. In this presentation, we explore the ethical consistency and the moral reasons to defend such a shift of trust from the physician towards an algorithmic-driven medium. Special attention will be accorded to the ethical question of whether, in the latter situation, trust can be said to be ‘better placed’ in the face of recurrent worries like the infamous black box problem.
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8750250
- MLA
- Segers, Seppe. “’Trust Me, I’m Algorithm-Driven’ : An Ethical Analysis of Translocating Trust from Physician to AI-Systems.” European Conference on Health Law, 8th, Abstracts, 2022.
- APA
- Segers, S. (2022). ’Trust me, I’m algorithm-driven’ : an ethical analysis of translocating trust from physician to AI-systems. European Conference on Health Law, 8th, Abstracts. Presented at the 8th European Conference on Health Law (EAHL 2022), Ghent, Belgium.
- Chicago author-date
- Segers, Seppe. 2022. “’Trust Me, I’m Algorithm-Driven’ : An Ethical Analysis of Translocating Trust from Physician to AI-Systems.” In European Conference on Health Law, 8th, Abstracts.
- Chicago author-date (all authors)
- Segers, Seppe. 2022. “’Trust Me, I’m Algorithm-Driven’ : An Ethical Analysis of Translocating Trust from Physician to AI-Systems.” In European Conference on Health Law, 8th, Abstracts.
- Vancouver
- 1.Segers S. ’Trust me, I’m algorithm-driven’ : an ethical analysis of translocating trust from physician to AI-systems. In: European Conference on Health Law, 8th, Abstracts. 2022.
- IEEE
- [1]S. Segers, “’Trust me, I’m algorithm-driven’ : an ethical analysis of translocating trust from physician to AI-systems,” in European Conference on Health Law, 8th, Abstracts, Ghent, Belgium, 2022.
@inproceedings{8750250,
abstract = {{Trust-related challenges occupy a prominent position in the context of algorithm-driven medical technologies such as mHealth apps and personalized medicine. The pervasiveness of such ‘trust-talk’ is now also finding entrance into policy documents, which is illustrated by the position of the European Commission on the trustworthy implementation of AI in autonomous systems. Upon closer inspection, however, the belief that patients should be able to trust AI in a similar way to physicians may seem surprising. After all, one often cited incentive to move towards such AI-driven technology is to enhance healthcare users’ control over their own care and reduce the need to trust in the physician’s capacity to heal. In this presentation, we explore the ethical consistency and the moral reasons to defend such a shift of trust from the physician towards an algorithmic-driven medium. Special attention will be accorded to the ethical question of whether, in the latter situation, trust can be said to be ‘better placed’ in the face of recurrent worries like the infamous black box problem.}},
author = {{Segers, Seppe}},
booktitle = {{European Conference on Health Law, 8th, Abstracts}},
language = {{eng}},
location = {{Ghent, Belgium}},
title = {{'Trust me, I’m algorithm-driven' : an ethical analysis of translocating trust from physician to AI-systems}},
url = {{https://eahl.eu/eahl-2022-conference}},
year = {{2022}},
}