Organon F
Volume 32, November 2025, Issue 4, Pages 380–401
ISSN 2585-7150 (online)
Research Article
The Dual Nature of Explicability in AI Ethics
Hyundeuk Cheon
Despite the significance of explicability in AI ethics, the principle of explicability remains subject to several unresolved issues, including its moral status, purpose, and the recipients of explanations. First, this paper proposes treating explicability as a prima facie duty to make machine learning algorithms explicable. Second, the dual nature of explicability is highlighted. It is claimed that explicability is for the warranted trust of decision-recipients in the algorithmic decisions as well as for enhancing the autonomy of decision-makers.
Algorithm; explicability; explainability; trust; trustworthiness; autonomy.
Author
Hyundeuk Cheon
Affiliation
Seoul National University
Address
Seoul National University, Department of Science Studies, Building 25-419, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, Korea, 08826
Received
2 October 2024
Revised
9 April 2025
Accepted
13 April 2025
Publishers
Institute of Philosophy of the Slovak Academy of Sciences
Institute of Philosophy of the Czech Academy of Sciences
APA
Cheon, H. (2025). The Dual Nature of Explicability in AI Ethics. Organon F, 32(4), 380–401. https://doi.org/10.31577/orgf.2025.32401
Chicago
Cheon, Hyundeuk. 2025. "The Dual Nature of Explicability in AI Ethics." Organon F 32 (4): 380–401. https://doi.org/10.31577/orgf.2025.32401
Harvard
Cheon, H. (2025). The Dual Nature of Explicability in AI Ethics. Organon F, 32(4), pp. 380–401. https://doi.org/10.31577/orgf.2025.32401
© Hyundeuk Cheon
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