Details
Original language | English |
---|---|
Title of host publication | Research Handbook on Meaningful Human Control of Artificial Intelligence Systems |
Publisher | Edward Elgar Publishing Ltd. |
Pages | 131-147 |
Number of pages | 17 |
ISBN (electronic) | 9781802204131 |
ISBN (print) | 9781802204124 |
Publication status | Published - 16 Jul 2024 |
Abstract
Artificial intelligence (AI) applications have become more and more important in the area of medical decision-making. This is accompanied by increasing legal and ethical discussions about responsibility for potential damages. Furthermore, it could be necessary that the humans involved still are - and feel - responsible for the decisions to uphold certain standards. The solution cannot be to attribute individual responsibility if normatively inadequate, especially if the person involved in the shared decision making with AI does not fully understand the process leading towards the suggestions by the machine, or the quality of the data the machine has been trained on. Thus, it is necessary to create shared decision making in a way that it is acceptable to attribute responsibility to the human in the loop. This chapter describes how meaningful human control over the machine can be implemented, reconciling AI-controlled clinical decision support systems with the doctor and patient sovereignty.
Keywords
- AI in medical contexts, Decision support systems, Empirical analysis of MHC, Interdisciplinary projects, Shared decision making
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Social Sciences(all)
- General Social Sciences
- Engineering(all)
- General Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Research Handbook on Meaningful Human Control of Artificial Intelligence Systems. Edward Elgar Publishing Ltd., 2024. p. 131-147.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Meaningful human control in shared medical decision making
AU - Beck, Susanne
AU - Gerndt, Simon
AU - Samhammer, David
AU - Dabrock, Peter
N1 - Publisher Copyright: © Giulio Mecacci, Daniele Amoroso, Luciano Cavalcante Siebert, David Abbink, Jeroen van den Hoven and Filippo Santoni de Sio 2024.
PY - 2024/7/16
Y1 - 2024/7/16
N2 - Artificial intelligence (AI) applications have become more and more important in the area of medical decision-making. This is accompanied by increasing legal and ethical discussions about responsibility for potential damages. Furthermore, it could be necessary that the humans involved still are - and feel - responsible for the decisions to uphold certain standards. The solution cannot be to attribute individual responsibility if normatively inadequate, especially if the person involved in the shared decision making with AI does not fully understand the process leading towards the suggestions by the machine, or the quality of the data the machine has been trained on. Thus, it is necessary to create shared decision making in a way that it is acceptable to attribute responsibility to the human in the loop. This chapter describes how meaningful human control over the machine can be implemented, reconciling AI-controlled clinical decision support systems with the doctor and patient sovereignty.
AB - Artificial intelligence (AI) applications have become more and more important in the area of medical decision-making. This is accompanied by increasing legal and ethical discussions about responsibility for potential damages. Furthermore, it could be necessary that the humans involved still are - and feel - responsible for the decisions to uphold certain standards. The solution cannot be to attribute individual responsibility if normatively inadequate, especially if the person involved in the shared decision making with AI does not fully understand the process leading towards the suggestions by the machine, or the quality of the data the machine has been trained on. Thus, it is necessary to create shared decision making in a way that it is acceptable to attribute responsibility to the human in the loop. This chapter describes how meaningful human control over the machine can be implemented, reconciling AI-controlled clinical decision support systems with the doctor and patient sovereignty.
KW - AI in medical contexts
KW - Decision support systems
KW - Empirical analysis of MHC
KW - Interdisciplinary projects
KW - Shared decision making
UR - http://www.scopus.com/inward/record.url?scp=85206032093&partnerID=8YFLogxK
U2 - 10.4337/9781802204131.00015
DO - 10.4337/9781802204131.00015
M3 - Contribution to book/anthology
AN - SCOPUS:85206032093
SN - 9781802204124
SP - 131
EP - 147
BT - Research Handbook on Meaningful Human Control of Artificial Intelligence Systems
PB - Edward Elgar Publishing Ltd.
ER -