Knowledge without a Subject: a philosophical reflection on the epistemic legitimacy of the machine

Document Type : Research Paper

Author

Assistant Professor, Department of Philosophy, Sa.C., Islamic Azad University, Sanandaj, Iran

Abstract

The transformation of cognitive and ethical structures in the age of artificial intelligence confronts philosophy with a fundamental question: how does knowledge emerge, and where does responsibility reside when decision-making moves beyond the sphere of human consciousness into algorithmic networks? Focusing on the concept of subjectless knowledge, this study argues that intelligent systems have shifted knowledge from a mental capacity to a mediating process in which human agents, data, and algorithms jointly participate in the production of meaning. Employing a reflective-analytical methodology and examining cases in medicine, media, and law, the paper contends that epistemic validity in the digital era is no longer measured solely by truth, but by the transparency of processes, the capacity for explanation, and the possibility of accountability. Within this framework, social epistemology elucidates how belief is shaped in algorithmic environments, while the ethics of responsibility provides a structure through which the contribution of both human and machinic agents to outcomes can be traced. The proposed model integrates these two dimensions, conceiving knowledge as a mediating event where meaning arises through the interaction between human interpretation and computational reasoning. Accordingly, moral responsibility becomes a distributed property of a network in which every agent participates in the unfolding of cognition. This analysis suggests that maintaining epistemic and ethical legitimacy in intelligent systems requires a philosophical reorientation-from the individual subject toward the distributed architectures of knowing.

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Knowledge without a Subject: a philosophical reflection on the epistemic legitimacy of the machine

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