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Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore

Research Article

A Biological Analysis of the Difficulties in Replicating Human Subjective Experience in Artificial Systems

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  • @INPROCEEDINGS{10.4108/eai.22-5-2026.2365135,
        author={Yifei  Xie},
        title={A Biological Analysis of the Difficulties in Replicating Human Subjective Experience in Artificial Systems},
        proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore},
        publisher={EAI},
        proceedings_a={ICIAAI},
        year={2026},
        month={8},
        keywords={Subjective experience; emotion; artificial intelligence},
        doi={10.4108/eai.22-5-2026.2365135}
    }
    
  • Yifei Xie
    Year: 2026
    A Biological Analysis of the Difficulties in Replicating Human Subjective Experience in Artificial Systems
    ICIAAI
    EAI
    DOI: 10.4108/eai.22-5-2026.2365135
Yifei Xie1,*
  • 1: Faculty of Science, University of Auckland, Auckland Central, Auckland, 1010, New Zealand
*Contact email: yxie518@aucklanduni.ac.nz

Abstract

Current neuroscience research shows that emotion-, cognition-, and embodimentrelated brain activities underlie human subjective experiences, including bodily awareness and immediate pleasure. However, despite rapid advances in artificial intelligence and brainmachine interface technologies, artificial systems still struggle to reproduce the embodied, emotional, and cognitive processes that contribute to human subjective experience. The paper discusses how biology explains subjective experience and why these processes are not easily recreated in artificial systems. The paper examines the biological mechanisms underlying subjective experience and the challenges involved in implementing comparable mechanisms in artificial systems.

Keywords
Subjective experience; emotion; artificial intelligence
Published
2026-08-31
Publisher
EAI
http://dx.doi.org/10.4108/eai.22-5-2026.2365135
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