Primer on an ethics of AI-based decision support systems in the clinic

verfasst von

Matthias Braun, Patrik Hummel, Susanne Beck, Peter Dabrock

Abstract

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.

Organisationseinheit(en)

Kriminalwissenschaftliches Institut (KI)

Externe Organisation(en)

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU Erlangen-Nürnberg)

Typ

Artikel

Journal

Journal of medical ethics

Band

47

Anzahl der Seiten

8

ISSN

0306-6800

Publikationsdatum

29.11.2021

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Gesundheit (Sozialwissenschaften), Probleme, Ethik und rechtliche Aspekte, Geisteswissenschaftliche Fächer (sonstige), Health policy

Ziele für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Elektronische Version(en)

https://doi.org/10.1136/medethics-2019-105860 (Zugang: Offen)