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The Deception of Certainty: how Non-Interpretable Machine Learning Outcomes Challenge the Epistemic Authority of Physicians. A deliberative-relational Approach

Crossref DOI link: https://doi.org/10.1007/s11019-022-10076-1

Published Online: 2022-05-10

Published Print: 2022-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Funer, Florian https://orcid.org/0000-0001-9242-0827
Funding

Funding for this research was provided by:

Eberhard Karls Universität Tübingen
License Information

Text and Data Mining valid from 2022-05-10

Version of Record valid from 2022-05-10
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Article History

Received: 23 November 2021

Revised: 3 March 2022

Accepted: 3 March 2022

First Online: 10 May 2022

Declarations

:

: The author declares no potential conflict of interest.

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