Computational Consciousness and Awareness: Issues and Challenges

Consciousness and Awareness (C&A) has become a major research topic with the advent of probabilistic AI/ML such as ChatGPT4 and LLMs. Human interactions with these system give the appearance of awareness of the user although this is known to be an illusion. Yet, objective understanding of consciousness continues to elude us (Jugran 2025). This area has piqued our interest and caused us to consider whether C&A can be emulated in a mechanized form in a computer. Bluntly, we can ask: Is a computer emulation of C&A feasible and how would we go about constructing it? This paper addresses a set of issues and challenges that will frame a research program in computational consciousness and awareness.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
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article

Computational Consciousness and Awareness: Issues and Challenges

Abzatdin Adamov, Brittany I. Davidson, Stephen Kaisler
ScholarSpace (University of Hawaii at Manoa)
Explainable Artificial Intelligence (XAI)
article

Computational Consciousness and Awareness: Issues and Challenges

Abzatdin Adamov, Brittany I. Davidson, Stephen Kaisler
article en

Abstract

Consciousness and Awareness (C&A) has become a major research topic with the advent of probabilistic AI/ML such as ChatGPT4 and LLMs. Human interactions with these system give the appearance of awareness of the user although this is known to be an illusion. Yet, objective understanding of consciousness continues to elude us (Jugran 2025). This area has piqued our interest and caused us to consider whether C&A can be emulated in a mechanized form in a computer. Bluntly, we can ask: Is a computer emulation of C&A feasible and how would we go about constructing it? This paper addresses a set of issues and challenges that will frame a research program in computational consciousness and awareness.

ScholarSpace (University of Hawaii at Manoa)
Openalex Percentile: Top 18%
Explainable Artificial Intelligence (XAI)
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