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.
The problem with AI consciousness: A neurogenetic case against synthetic sentience
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abstract
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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Analyzing Advanced AI Systems Against Definitions of Life and Consciousness
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.