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

arXiv 2301.05397 ↗First posted 7 Dec 2022cs.AI cs.CY q-bio.NCcited by 0

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Abstract (arXiv)

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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References · 7

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,304
  4. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,464
  5. 2022LaMDA: Language Models for Dialog Applicationscited by 1,218
  6. 2016The AGI Containment Problemcited by 36
  7. 2021The Moral Consideration of Artificial Entities: A Literature Reviewcited by 10

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