This paper explores a philosophical problem at the intersection of neuroscience and artificial intelligence (AI), and the potential impact of these novel AI “mind-reading” technologies on various forms of mind–body dualism, including substance, interaction, property, predicate, and emergent dualisms. It critically examines how AI’s ability to interpret and predict mental states from neural patterns challenges traditional dualistic theories, which have historically posited distinct relationships between the mind and body. The paper analyzes each dualistic theory in the context of AI advancements. Substance and interaction dualisms are scrutinized for their claims of mind–body independence and causal interaction, respectively, in light of AI’s capabilities to correlate mental and physical states. Property dualism’s assertion of unique mental properties emerging from physical processes is tested against AI’s potential to map mental phenomena to brain activity. Predicate dualism’s linguistic and conceptual distinction between mental and physical realms is challenged by AI’s ability to bridge these domains. Similarly, emergent dualism, which views mental states as novel phenomena, confronts the possibility of their reduction to physical brain processes. Despite these challenges, the paper argues for the adaptability of dualistic theories to integrate AI insights, suggesting a re-evaluation rather than a negation of dualism. It highlights the enduring relevance of philosophical inquiry into the nature of consciousness and mind–body relationships in the age of AI, suggesting that such technological advancements invigorate rather than terminate the philosophical debate.
Read full abstract