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The problem with AI consciousness: A neurogenetic case against synthetic sentience

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arxiv 2301.05397 v1 pith:YTKCEEZE submitted 2022-12-07 cs.AI cs.CYq-bio.NC

classification cs.AIcs.CYq-bio.NC
keywords consciousnessbecomeneurogeneticsentientanthropomorphicarguesartificialbelieve
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Ever since the creation of the first artificial intelligence (AI) machinery built on machine learning (ML), public society has entertained the idea that eventually computers could become sentient and develop a consciousness of their own. As these models now get increasingly better and convincingly more anthropomorphic, even some engineers have started to believe that AI might become conscious, which would result in serious social consequences. The present paper argues against the plausibility of sentient AI primarily based on the theory of neurogenetic structuralism, which claims that the physiology of biological neurons and their structural organization into complex brains are necessary prerequisites for true consciousness to emerge.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Analyzing Advanced AI Systems Against Definitions of Life and Consciousness

    cs.AI 2025-02 reject novelty 4.0 of 10

    The paper proposes a functional Life* framework and reports that CNNs and chatbots can be trained or prompted to detect sabotage and recognize their own outputs, but the experiments are largely by construction.

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