Nurturing Knowledge: A Virtue Epistemology Approach to Explainable AI
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25210%2F25%3A39923579" target="_blank" >RIV/00216275:25210/25:39923579 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/edited-volume/59762/chapter-abstract/538536651?redirectedFrom=fulltext" target="_blank" >https://academic.oup.com/edited-volume/59762/chapter-abstract/538536651?redirectedFrom=fulltext</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/9780198945215.003.0176" target="_blank" >10.1093/9780198945215.003.0176</a>
Alternative languages
Result language
angličtina
Original language name
Nurturing Knowledge: A Virtue Epistemology Approach to Explainable AI
Original language description
AI technologies, particularly deep neural networks and machine learning models, have become increasingly integrated into knowledge production across diverse scientific domains, raising critical concerns about explainability and interpretability. Different disciplines and contexts require fundamentally different types of explanations, making universal approaches to explainable AI inadequate. Virtue epistemology offers a promising framework for addressing these challenges by focusing on how AI systems cultivate or undermine epistemic virtues within specific knowledge communities. Rather than seeking explanations in abstract terms, virtue epistemology emphasizes epistemic abilities and character traits as they manifest within particular epistemic cultures. Case studies from social science, neuroscience, medicine, and the humanities reveal that meaningful progress in explainable AI requires aligning computational reasoning with the cultivation of epistemic virtues and the mitigation of epistemic vices that characterize each scientific community’s specialized knowledge practices and norms.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
60302 - Ethics (except ethics related to specific subfields)
Result continuities
Project
<a href="/en/project/GA24-11282S" target="_blank" >GA24-11282S: Vicious epistemic cultures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Oxford Intersections: AI in Society
ISBN
978-0-19-894521-5
Number of pages of the result
19
Pages from-to
1-19
Number of pages of the book
100
Publisher name
Oxford University Press
Place of publication
Oxford
UT code for WoS chapter
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