Published Paper Details:

Artificial intelligence (AI) progressively performs tasks formerly considered uniquely human, including complex reasoning, creative production, and adaptive learning. These advances challenge longstanding discrepancies between artificial systems and human minds, raising questions about consciousness, cognition, and personal identity. This paper discussed whether AI could possess a mind or consciousness and what implications follow for human identity. Drawing on philosophical theories of mind--dualism, materialism, functionalism, phenomenology--and contemporary debates about artificial consciousness, the present paper analysed conceptual and metaphysical limits to AI mentality. Complementing this, psychological research into human cognition, memory, embodiment, and creativity illustrates how human minds function in ways that resist simple computational analogy. Recent empirical studies (2023-2025) demonstrate that large language models exhibit behaviors analogous to human cognitive tendencies, while also revealing limits in self-coherence, embodiment, and experiential grounding. By comparing these findings, it may be argued that AI challenges but does not dissolve the concept of human uniqueness. Human identity, understood as embodied, historically continuous, and socially embedded, remains distinct even as AI reshapes how humans understand themselves. The paper concludes that identity must be reconstructed in the age of AI not through exclusion of machines, but through recognition of embodiment, vulnerability, and subjective consciousness as central to human selfhood.