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Quantitative Biology > Neurons and Cognition

Title: Can a Machine be Conscious? Towards Universal Criteria for Machine Consciousness

Abstract: As artificially intelligent systems become more anthropomorphic and pervasive, and their potential impact on humanity more urgent, discussions about the possibility of machine consciousness have significantly intensified, and it is sometimes seen as 'the holy grail'. Many concerns have been voiced about the ramifications of creating an artificial conscious entity. This is compounded by a marked lack of consensus around what constitutes consciousness and by an absence of a universal set of criteria for determining consciousness. By going into depth on the foundations and characteristics of consciousness, we propose five criteria for determining whether a machine is conscious, which can also be applied more generally to any entity. This paper aims to serve as a primer and stepping stone for researchers of consciousness, be they in philosophy, computer science, medicine, or any other field, to further pursue this holy grail of philosophy, neuroscience and artificial intelligence.
Comments: This work was supported by the UKRI CDT in AI for Healthcare, this http URL (Grant No. EP/S023283/1)
Subjects: Neurons and Cognition (q-bio.NC); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
Cite as: arXiv:2404.15369 [q-bio.NC]
  (or arXiv:2404.15369v2 [q-bio.NC] for this version)

Submission history

From: Cosmin Badea [view email]
[v1] Fri, 19 Apr 2024 18:38:22 GMT (341kb,D)
[v2] Tue, 30 Apr 2024 17:28:30 GMT (344kb,D)

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