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The Digital Nexus: tracing the evolution of human consciousness and cognition within the artificial realm—a comprehensive review

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Abstract

This paper endeavors to appraise scholarly works from the 1940s to the contemporary era, examining the scientific quest to transpose human cognition and consciousness into a digital surrogate, while contemplating the potential ramifications should humanity attain such an abstract level of intellect. The discourse commences with an explication of theories concerning consciousness, progressing to the Turing Test apparatus, and intersecting with Damasio’s research on the human cerebrum, particularly in relation to consciousness, thereby establishing congruence between the Turing Test and Damasio’s notions of consciousness. Subsequently, the narrative traverses the evolutionary chronology of transmuting human cognition into machine sapience, and delves into the fervent endeavors to metamorphose human minds into synthetic counterparts. Additionally, theoretical perspectives from the domains of philosophy, psychology, and neuroscience provide insight into the constraints intrinsic to AI implementations, contentious hypotheses, the perils concealed within artificial networks, and the ethical considerations necessitated by AI frameworks. Furthermore, contemplation of prospective repercussions facilitates the refinement of strategic approaches to safeguard our future Augmented Age Realities within AI, circumventing the prospect of inhabiting an intimidating technopolis where a mere 30% monopolize the intellect and ingenuity of the remaining 70% of human minds.

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Funding

Beijing Universities’ Collaborative. Innovation Centre of Socialist Theory with Chinese Characteristics Research (China University of Political Science and Law), Major Program of National Fund of Philosophy and Social Science of China, 21ZDA019.

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Correspondence to Zheng Wang.

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Wang, Z., Wu, Dt. The Digital Nexus: tracing the evolution of human consciousness and cognition within the artificial realm—a comprehensive review. AI & Soc (2023). https://doi.org/10.1007/s00146-023-01753-7

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  • DOI: https://doi.org/10.1007/s00146-023-01753-7

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