Medical Informatics in a Tension Between Black-Box AI and Trust

Sariyar, Murat; Holm, Jürgen (2022). Medical Informatics in a Tension Between Black-Box AI and Trust Studies in Health Technology and Informatics, 289, pp. 41-44. IOS Press 10.3233/SHTI210854

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For medical informaticians, it became more and more crucial to assess the benefits and disadvantages of AI-based solutions as promising alternatives for many traditional tools. Besides quantitative criteria such as accuracy and processing time, healthcare providers are often interested in qualitative explanations of the solutions. Explainable AI provides methods and tools, which are interpretable enough that it affords different stakeholders a qualitative understanding of its solutions. Its main purpose is to provide insights into the black-box mechanism of machine learning programs. Our goal here is to advance the problem of qualitatively assessing AI from the perspective of medical informaticians by providing insights into the central notions, namely: explainability, interpretability, understanding, trust, and confidence.

Item Type:	Journal Article (Original Article)
Division/Institute:	School of Engineering and Computer Science > Institut für Medizininformatik I4MI
Name:	Sariyar, Murat and Holm, Jürgen
Subjects:	B Philosophy. Psychology. Religion > B Philosophy (General) H Social Sciences > HM Sociology Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ISSN:	1879-8365
ISBN:	9781643682501
Series:	Studies in Health Technology and Informatics
Publisher:	IOS Press
Language:	English
Submitter:	Murat Sariyar
Date Deposited:	20 Dec 2022 15:37
Last Modified:	15 Jan 2024 15:24
Publisher DOI:	10.3233/SHTI210854
ARBOR DOI:	10.24451/arbor.18479
URI:	https://arbor.bfh.ch/id/eprint/18479