Artificial Intelligence, Explicit Online Knowledge, and Tacit Knowledge – From Knowledge Boundaries to the First Knowledge Asymmetry

Mihály Szívós ()

Chapter 6 in Tanulmányok az információ- és tudásfolyamatokról 22. / Studies on Information and Knowledge Processes 22, 2025, vol. 22, pp 117-134 from Információs Társadalomért Alapítvány / Foundation for Information Society

Abstract: Examines limits created by AI's dependence on explicit online knowledge and its restricted access to tacit, network and other less directly codified forms of knowledge. It develops the idea of knowledge asymmetry: AI processing of explicit knowledge grows rapidly while use of other knowledge domains does not, potentially reinforcing social inequalities and the resources of functional centres.

Keywords: knowledge boundary; type of knowledge; knowledge asymmetry; anthropomorphization; network knowledge; AI-visibility of knowledge; efficiency of AI knowledge processing (search for similar items in EconPapers)
Date: 2025
ISBN: 978-615-82082-9-1
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Persistent link: https://EconPapers.repec.org/RePEc:evj:echapt:alma22-06

DOI: 10.60030/ALMAMS.c202501efkEfb

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