Chinese Chat Room: AI Hallucinations, Epistemology and Cognition

Abstract The purpose of this paper is to show that understanding AI hallucination requires an interdisciplinary approach that combines insights from epistemology and cognitive science to address the nature of AI-generated knowledge, with a terminological worry that concepts we often use might carry unnecessary presuppositions. Along with terminological issues, it is demonstrated that AI systems, comparable to human cognition, are susceptible to errors in judgement and reasoning, and proposes that epistemological frameworks, such as reliabilism, can be similarly applied to enhance the trustworthiness of AI outputs. This exploration seeks to deepen our understanding of the possibility of AI cognition and its implications for the broader philosophical questions of knowledge and intelligence.

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Publication Details

Journal
Studies in Logic Grammar and Rhetoric
Published
2024-12-01
DOI
https://doi.org/10.2478/slgr-2024-0029
Citations
3
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
1.08
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article

Chinese Chat Room: AI Hallucinations, Epistemology and Cognition

Kristina Šekrst
3 citations
Studies in Logic Grammar and Rhetoric
Computability, Logic, AI Algorithms
1.08
article

Chinese Chat Room: AI Hallucinations, Epistemology and Cognition

Kristina Šekrst
article en
3 citations

Abstract

Abstract The purpose of this paper is to show that understanding AI hallucination requires an interdisciplinary approach that combines insights from epistemology and cognitive science to address the nature of AI-generated knowledge, with a terminological worry that concepts we often use might carry unnecessary presuppositions. Along with terminological issues, it is demonstrated that AI systems, comparable to human cognition, are susceptible to errors in judgement and reasoning, and proposes that epistemological frameworks, such as reliabilism, can be similarly applied to enhance the trustworthiness of AI outputs. This exploration seeks to deepen our understanding of the possibility of AI cognition and its implications for the broader philosophical questions of knowledge and intelligence.

Studies in Logic Grammar and RhetoricVol. 69(1)
University of Zagreb (HR)
Quality Education
Openalex Percentile: Top 19%
Computability, Logic, AI Algorithms
1.08
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