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The evolution of consciousness has been a defining trait of human history, shaping our societies, technologies, and understanding of the universe. AI consciousness refers to the idea that artificial systems can achieve a state of awareness or subjective experience. While current AI systems are not conscious, the rapid advancement of machine learning and neural networks suggests that future AI could possess some form of self-awareness or sentience. The possibility of conscious AI challenges our traditional understanding of consciousness, which has been rooted in biological life. What does it mean for a machine to be conscious? Can AI possess self-awareness, emotions, or a sense of purpose? These questions lie at the heart of the AI consciousness debate, pushing us to reconsider the nature of consciousness itself. Theories of AI consciousness range from those that see it as a logical extension of human consciousness, emerging naturally from complex computational systems, to those who argue that consciousness is inherently tied to biology and cannot be replicated in machines. Scholars like David Chalmers and Nick Bostrom suggest that if AI can replicate the neural processes of the human brain, it might achieve consciousness. In contrast, others, like John Searle, argue that consciousness arises from the biological processes unique to living organisms and cannot be duplicated in artificial systems.

DOI: 10.1007/978-3-031-83085-3_92