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If consciousness is dynamically relevant, artificial intelligence isn't conscious
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We demonstrate that if consciousness is relevant for the temporal evolution of a system's states--that is, if it is dynamically relevant--then AI systems cannot be conscious. That is because AI systems run on CPUs, GPUs, TPUs or other processors which have been designed and verified to adhere to computational dynamics that systematically preclude or suppress deviations. The design and verification preclude or suppress, in particular, potential consciousness-related dynamical effects, so that if consciousness is dynamically relevant, AI systems cannot be conscious.
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Cited by 1 Pith paper
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On the utility of toy models for theories of consciousness
A consciousness researcher makes the case that toy models help clarify, test, and compare theories of consciousness, using IIT and GWT as case studies.
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