From Rational Human to Algorithmic Human: Rethinking Human Ontology in the Age of Artificial Intelligence
محل انتشار: دو فصلنامه تاملات فلسفی، دوره: 16، شماره: 37
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: فارسی
مشاهده: 9
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شناسه ملی سند علمی:
JR_PHM-16-37_008
تاریخ نمایه سازی: 14 مرداد 1405
چکیده مقاله:
The rapid advancement of artificial intelligence has reignited fundamental philosophical questions concerning rationality and the nature of the human being. While contemporary AI systems increasingly exhibit behaviors traditionally associated with human intelligence, this convergence has obscured crucial ontological distinctions between human and algorithmic forms of rationality. This article offers a philosophical and ontological analysis of rationality as it transitions from a classical human-centered concept to an algorithmic framework embedded in artificial intelligence.Drawing on classical philosophy, contemporary AI theory, and critical perspectives in philosophy of technology and theology, the article argues that human rationality constitutes an existential mode of being rather than a mere functional capacity. Human rationality is inseparable from embodiment, lived experience, moral responsibility, and openness to meaning. By contrast, algorithmic rationality operates as a computational mode of operation, defined by optimization, prediction, and instrumental goal satisfaction, without access to phenomenological or ethical dimensions of existence.The central claim of this study is that the primary ontological risk posed by artificial intelligence does not lie in the possibility that machines may become human-like, but in the gradual redefinition of the human according to algorithmic standards of rationality. Such a reduction risks undermining the conceptual foundations of human dignity, agency, and responsibility. The article concludes that a robust ethical and theological engagement with artificial intelligence must be grounded in a renewed account of human ontology that resists the reduction of rationality to computation.
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