The Case Against AI Thought - The Mind and the Machine: Lecture 6
Автор: Thomas Aquinas College
Загружено: 2026-01-14
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As Artificial Intelligence systems grow more capable, it is increasingly tempting to identify intelligence itself with computation. In the sixth installment of The Mind and the Machine, Dr. Augros will examine seven arguments for resisting that identification. Some focus on current limitations of AI, such as its lack of genuine generality or its tendency to hallucinate. Others are more fundamental, addressing how AI systems operate and what it means to understand anything at all. Drawing on thinkers such as Leibniz, Hans Jonas, and John Searle, the discussion turns on distinctions that remain philosophically decisive: between symbols and meanings, syntax and semantics, output and intention. Searle’s Chinese Room, in particular, illustrates why producing correct responses by following formal rules may fall short of genuine thought. The question is not whether AI is impressive. It clearly is. The question is whether what it does is the same in kind as what a mind does when it understands. Answering that question requires careful philosophical reflection, not technological enthusiasm alone. #ArtificialIntelligence #Philosophy #PhilosophyOfMind #HigherEducation #ThomasAquinasCollege
Learn more about Thomas Aquinas College at thomasaquinas.edu
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