This article introduces hybrid epistemology as a framework for understanding how knowledge emerges when humans and AI systems function as cognitive partners. Traditional philosophy treated knowledge as something individual minds acquire through experience or reasoning. That view no longer captures contemporary reality. The investigation examines three critical challenges. How do we evaluate knowledge claims when the reasoning process involves opaque algorithms? What happens when trust networks replace traditional methods of justification? How does cognitive responsibility get distributed across human-machine partnerships? These questions matter because hybrid knowledge systems now influence medical diagnoses, legal decisions, and policy choices that directly affect people's lives.
Andrii Lykhatskyi (Mon,) studied this question.
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