This paper argues against the feasibility of AI Consciousness (AIC), discussing recent claims that large language models and advanced AI architectures could one day possess phenomenal consciousness. While proponents draw on computational functionalism and models like Global Workspace Theory to support the idea of AIC, we challenge this view by highlighting the ontological and phenomenological conditions of consciousness. We argue that consciousness, as viewed through classical phenomenology and critical accounts of embodiment and embeddedness, is a transcendental precondition for experience. Thus, consciousness cannot emerge in silicon-based systems because it is irreducibly lived, embodied, and first-personal.

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A Case Against the Feasibility of AI Consciousness (AIC)

  • Bo Kampmann Walther,
  • Anne Gerdes

摘要

This paper argues against the feasibility of AI Consciousness (AIC), discussing recent claims that large language models and advanced AI architectures could one day possess phenomenal consciousness. While proponents draw on computational functionalism and models like Global Workspace Theory to support the idea of AIC, we challenge this view by highlighting the ontological and phenomenological conditions of consciousness. We argue that consciousness, as viewed through classical phenomenology and critical accounts of embodiment and embeddedness, is a transcendental precondition for experience. Thus, consciousness cannot emerge in silicon-based systems because it is irreducibly lived, embodied, and first-personal.