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Quantitative Biology > Neurons and Cognition

arXiv:2405.04540 (q-bio)
[Submitted on 18 Apr 2024]

Title:Is artificial consciousness achievable? Lessons from the human
brain

Authors:Michele Farisco, Kathinka Evers, Jean-Pierre Changeux
View a PDF of the paper titled Is artificial consciousness
achievable? Lessons from the human brain, by Michele Farisco and 2
other authors
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    Abstract:We here analyse the question of developing artificial
    consciousness from an evolutionary perspective, taking the
    evolution of the human brain and its relation with consciousness
    as a reference model. This kind of analysis reveals several
    structural and functional features of the human brain that appear
    to be key for reaching human-like complex conscious experience
    and that current research on Artificial Intelligence (AI) should
    take into account in its attempt to develop systems capable of
    conscious processing. We argue that, even if AI is limited in its
    ability to emulate human consciousness for both intrinsic
    (structural and architectural) and extrinsic (related to the
    current stage of scientific and technological knowledge) reasons,
    taking inspiration from those characteristics of the brain that
    make conscious processing possible and/or modulate it, is a
    potentially promising strategy towards developing conscious AI.
    Also, it is theoretically possible that AI research can develop
    partial or potentially alternative forms of consciousness that is
    qualitatively different from the human, and that may be either
    more or less sophisticated depending on the perspectives.
    Therefore, we recommend neuroscience-inspired caution in talking
    about artificial consciousness: since the use of the same word
    consciousness for humans and AI becomes ambiguous and potentially
    misleading, we propose to clearly specify what is common and what
    differs in AI conscious processing from full human conscious
    experience.

Subjects: Neurons and Cognition (q-bio.NC); Artificial Intelligence
          (cs.AI)
Cite as:  arXiv:2405.04540 [q-bio.NC]
          (or arXiv:2405.04540v1 [q-bio.NC] for this version)
          https://doi.org/10.48550/arXiv.2405.04540
          Focus to learn more
          arXiv-issued DOI via DataCite

Submission history

From: Michele Farisco [view email]
[v1] Thu, 18 Apr 2024 12:59:44 UTC (1,337 KB)
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