Why large language models cannot possess consciousness: an integrated information theory perspective

Current LLMs do not satisfy the structural and informational requirements of consciousness under IIT. Although capable of simulating intelligent language, LLMs remain unconscious systems with a negligible amount of integrated information, underscoring the distinction between linguistic competence and conscious experience.

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Publication Details

Journal
Journal of Yeungnam Medical Science
Published
2025-12-01
DOI
https://doi.org/10.12701/jyms.2025.42.79
Primary Topic
Neurobiology of Language and Bilingualism
Type
article
Field-Weighted Citation Impact
0.00

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article

Why large language models cannot possess consciousness: an integrated information theory perspective

Dong Ah Shin, Pyung Goo Cho, Sungwoo Kim, Min Cheol Chang et al.
Journal of Yeungnam Medical Science
Neurobiology of Language and Bilingualism
article

Why large language models cannot possess consciousness: an integrated information theory perspective

Dong Ah Shin, Pyung Goo Cho, Sungwoo Kim, Min Cheol Chang, S Park, Yoo Jin Choo, Gyu Yeul Ji
article en

Abstract

Current LLMs do not satisfy the structural and informational requirements of consciousness under IIT. Although capable of simulating intelligent language, LLMs remain unconscious systems with a negligible amount of integrated information, underscoring the distinction between linguistic competence and conscious experience.

Journal of Yeungnam Medical ScienceVol. 42
Yonsei University (KR), Severance Hospital (KR), Ajou University Hospital (KR), Yeungnam University College, Yeungnam University (KR)
Yeungnam University
Openalex Percentile: Top 62%
Neurobiology of Language and Bilingualism
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