In this article, I will argue in favor of both the ethical and epistemological utility of explanations in artificial intelligence (AI)-based medical technology. I will build on the notion of “explicability” due to Floridi, which considers both the intelligibility and accountability of AI systems to be important for truly delivering AI-powered services that strengthen autonomy, beneficence, and fairness. I maintain that explicable algorithms do, in fact, strengthen these ethical principles in medicine, e.g., in terms of direct patient–physician contact, as well as on a longer-term epistemological level by facilitating scientific progress that is informed through practice. With this article, I will therefore attempt to counter arguments against demands for explicable AI in medicine that are based on a notion of “whatever heals is right.” I will elucidate my elaboration on the positive aspects of explicable AI in medicine as well as by pointing out risks of non-explicable AI.
%0 Journal Article
%1 herzog2022ethical
%A Herzog, Christian
%D 2022
%I Springer Science and Business Media LLC
%J Philosophy & Technology
%K artificial_intelligence ethics explainable_ai
%N 2
%R 10.1007/s13347-022-00546-y
%T On the Ethical and Epistemological Utility of Explicable AI in Medicine
%U http://dx.doi.org/10.1007/s13347-022-00546-y
%V 35
%X In this article, I will argue in favor of both the ethical and epistemological utility of explanations in artificial intelligence (AI)-based medical technology. I will build on the notion of “explicability” due to Floridi, which considers both the intelligibility and accountability of AI systems to be important for truly delivering AI-powered services that strengthen autonomy, beneficence, and fairness. I maintain that explicable algorithms do, in fact, strengthen these ethical principles in medicine, e.g., in terms of direct patient–physician contact, as well as on a longer-term epistemological level by facilitating scientific progress that is informed through practice. With this article, I will therefore attempt to counter arguments against demands for explicable AI in medicine that are based on a notion of “whatever heals is right.” I will elucidate my elaboration on the positive aspects of explicable AI in medicine as well as by pointing out risks of non-explicable AI.
@article{herzog2022ethical,
abstract = {In this article, I will argue in favor of both the ethical and epistemological utility of explanations in artificial intelligence (AI)-based medical technology. I will build on the notion of “explicability” due to Floridi, which considers both the intelligibility and accountability of AI systems to be important for truly delivering AI-powered services that strengthen autonomy, beneficence, and fairness. I maintain that explicable algorithms do, in fact, strengthen these ethical principles in medicine, e.g., in terms of direct patient–physician contact, as well as on a longer-term epistemological level by facilitating scientific progress that is informed through practice. With this article, I will therefore attempt to counter arguments against demands for explicable AI in medicine that are based on a notion of “whatever heals is right.” I will elucidate my elaboration on the positive aspects of explicable AI in medicine as well as by pointing out risks of non-explicable AI.},
added-at = {2023-11-24T09:48:22.000+0100},
author = {Herzog, Christian},
biburl = {https://www.bibsonomy.org/bibtex/294e3649113d291f081b4f3c3f45668a7/meneteqel},
doi = {10.1007/s13347-022-00546-y},
interhash = {10516413c08da0f9379041fadf2b65f8},
intrahash = {94e3649113d291f081b4f3c3f45668a7},
issn = {2210-5441},
journal = {Philosophy & Technology},
keywords = {artificial_intelligence ethics explainable_ai},
language = {en},
month = may,
number = 2,
publisher = {Springer Science and Business Media LLC},
timestamp = {2023-11-24T09:48:47.000+0100},
title = {On the Ethical and Epistemological Utility of Explicable AI in Medicine},
url = {http://dx.doi.org/10.1007/s13347-022-00546-y},
volume = 35,
year = 2022
}