RT Journal Article
SR Electronic
T1 Primer on an ethics of AI-based decision support systems in the clinic
JF Journal of Medical Ethics
JO J Med Ethics
FD BMJ Publishing Group Ltd and Institute of Medical Ethics
SP e3
OP e3
DO 10.1136/medethics-2019-105860
VO 47
IS 12
A1 Matthias Braun
A1 Patrik Hummel
A1 Susanne Beck
A1 Peter Dabrock
YR 2021
UL http://jme.bmj.com/content/47/12/e3.abstract
AB Making good decisions in extremely complex and difficult processes and situations has always been both a key task as well as a challenge in the clinic and has led to a large amount of clinical, legal and ethical routines, protocols and reflections in order to guarantee fair, participatory and up-to-date pathways for clinical decision-making. Nevertheless, the complexity of processes and physical phenomena, time as well as economic constraints and not least further endeavours as well as achievements in medicine and healthcare continuously raise the need to evaluate and to improve clinical decision-making. This article scrutinises if and how clinical decision-making processes are challenged by the rise of so-called artificial intelligence-driven decision support systems (AI-DSS). In a first step, this article analyses how the rise of AI-DSS will affect and transform the modes of interaction between different agents in the clinic. In a second step, we point out how these changing modes of interaction also imply shifts in the conditions of trustworthiness, epistemic challenges regarding transparency, the underlying normative concepts of agency and its embedding into concrete contexts of deployment and, finally, the consequences for (possible) ascriptions of responsibility. Third, we draw first conclusions for further steps regarding a ‘meaningful human control’ of clinical AI-DSS.