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

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