The article explores the connections between artificial intelligence and the human brain, focusing on how computational models and neural networks draw inspiration from our understanding of consciousness. It argues that historical philosophical perspectives set the stage for the limitations inherent in models of reality, including AI. Important discussions include the implications of brain architecture evolution on AI and the challenges posed by AI consciousness in social contexts, as well as the contrasts between conscious and non-conscious processing. Ultimately, it highlights the ongoing philosophical discourse surrounding AI's capability to emulate human-like consciousness.
As Kant (1781) argued, all our experiences make essential reference to our own, perforce finite, perspectives that we can never transcend, which means that we are...
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