Will XAI Provide Real Explanation or Just a Plausible Rationalization?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43969570" target="_blank" >RIV/49777513:23520/23:43969570 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-47665-5_29" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-47665-5_29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-47665-5_29" target="_blank" >10.1007/978-3-031-47665-5_29</a>

Result language
angličtina
Original language name
Will XAI Provide Real Explanation or Just a Plausible Rationalization?
Original language description
This paper discusses the analogies between the mainstream theory of human mind and the two broad paradigms that are employed when building artificial intelligence systems. Then it ponders the idea how those analogies could be utilized in building a truly explainable artificial intelligence (AI) applications. The core part is devoted to the problem of unwanted rationalization that could disguise the true reasons lying behind the decisions of the explainable AI systems.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Pattern Recognition 7th Asian Conference, ACPR 2023, Kitakyushu, Japan, November 5–8, 2023, Proceedings, Part III
ISBN
978-3-031-47664-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
358-368
Publisher name
Springer
Place of publication
Heidelberg
Event location
Kitakyushu, Japan
Event date
Nov 5, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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