Generative artificial intelligence and learning: At the dawn of Idiocracy?

In this article, we reflect on the dark side of generative artificial intelligence. We identify several concerns associated with generative artificial intelligence in relation to knowledge processing and developing understanding, including misalignment between the artificial intelligence’s intended and actual use, its rhetorical duplicity, risk of technical dependence, negative impact on creativity and contextual understanding, overall decreased knowledge quality, the production of ‘illusory truths’, artificial intelligence’s progressive encapsulation and its exponential proliferation. We call for reflection on its potential implications for management learning, as well as for learning more broadly.

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Publication Details

Journal
Management Learning
Published
2025-06-24
DOI
https://doi.org/10.1177/13505076251348575
Citations
4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
9.46
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article

Generative artificial intelligence and learning: At the dawn of Idiocracy?

Michal Izák, Amon Barros, Ajnesh Prasad, Martyna Śliwa
4 citations
Management Learning
Ethics and Social Impacts of AI
9.46
article

Generative artificial intelligence and learning: At the dawn of Idiocracy?

Michal Izák, Amon Barros, Ajnesh Prasad, Martyna Śliwa
article en
4 citations

Abstract

In this article, we reflect on the dark side of generative artificial intelligence. We identify several concerns associated with generative artificial intelligence in relation to knowledge processing and developing understanding, including misalignment between the artificial intelligence’s intended and actual use, its rhetorical duplicity, risk of technical dependence, negative impact on creativity and contextual understanding, overall decreased knowledge quality, the production of ‘illusory truths’, artificial intelligence’s progressive encapsulation and its exponential proliferation. We call for reflection on its potential implications for management learning, as well as for learning more broadly.

Management LearningVol. 56(3)
University of Chester (GB), Audencia Business School (FR), University of Bath (GB)
Openalex Percentile: Top 2%
Ethics and Social Impacts of AI
9.46
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