Will XAI Provide Real Explanation or Just a Plausible Rationalization?

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dc.contributor.authorIrcing, Pavel
dc.contributor.authorŠvec, Jan
dc.date.accessioned2025-06-20T08:51:25Z
dc.date.available2025-06-20T08:51:25Z
dc.date.issued2023
dc.date.updated2025-06-20T08:51:25Z
dc.description.abstractThis 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.en
dc.format11
dc.identifier.doi10.1007/978-3-031-47665-5_29
dc.identifier.isbn978-3-031-47664-8
dc.identifier.issn0302-9743
dc.identifier.obd43940571
dc.identifier.orcidIrcing, Pavel 0000-0001-6967-1687
dc.identifier.orcidŠvec, Jan 0000-0001-8362-5927
dc.identifier.urihttp://hdl.handle.net/11025/61409
dc.language.isoen
dc.project.IDSGS-2022-017
dc.publisherSpringer
dc.relation.ispartofseries7th Asian Conference on Pattern Recognition (ACPR 2023)
dc.subjectexplainable AIen
dc.subjectdual process theoryen
dc.subjectrationalizationen
dc.titleWill XAI Provide Real Explanation or Just a Plausible Rationalization?en
dc.typeStať ve sborníku (D)
dc.typeSTAŤ VE SBORNÍKU
dc.type.statusPublished Version
local.files.count1*
local.files.size215005*
local.has.filesyes*
local.identifier.eid2-s2.0-85177448292

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