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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

On the Scientific Feasibility of the Brain-in-a-Vat Hypothesis

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  • @INPROCEEDINGS{10.4108/eai.22-5-2026.2365218,
        author={Musen  Wan},
        title={On the Scientific Feasibility of the Brain-in-a-Vat Hypothesis},
        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={Brain-in-a-vat Hypothesis Brain-computer Interfaces Artificial Intelligence},
        doi={10.4108/eai.22-5-2026.2365218}
    }
    
  • Musen Wan
    Year: 2026
    On the Scientific Feasibility of the Brain-in-a-Vat Hypothesis
    ICIAAI
    EAI
    DOI: 10.4108/eai.22-5-2026.2365218
Musen Wan1,*
  • 1: School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore, 637371, Singapore
*Contact email: WANM0009@e.ntu.edu.sg

Abstract

The brain-in-the-vat (BIV) hypothesis was first seen as a thought experiment. However, recent advances in neuroscience, brain-computer interfaces (BCIs), and large-scale neuromodeling techniques have raised the question of whether such a system could be scientifically possible. This paper discusses the feasibility of the hypothesis from a biological systems and engineering perspective. It analyzes the physiological properties of the brain and evaluates the conditions required to maintain an isolated brain and generate coherent consciousness. The analysis shows that instead of acting as a dependent computational unit, the brain is integrated with metabolic, endocrine, immune, and sensorimotor systems, upon which the brain’s internal states and signal input interpretations are heavily dependent. Based on this situation, four minimal requirements are proposed: physiological maintenance, bidirectional neural interfacing, neuron states monitoring and regulation, and consciousness generation. However, current neural technologies are still far from the scale and understanding required to meet these conditions.

Keywords
Brain-in-a-vat Hypothesis, Brain-computer Interfaces, Artificial Intelligence
Published
2026-08-31
Publisher
EAI
http://dx.doi.org/10.4108/eai.22-5-2026.2365218
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