Tolle Lege: An Augustinian Journal of Philosophy and Theology

The rapid integration of artificial intelligence (AI) into various aspects of modern life has created a complex hybrid intelligence quagmire (HIQ). This phenomenon, characterized by the interplay between human and artificial intelligence, raises very fundamental questions about the nature of knowledge, authority and decisionmaking. As AI systems become increasingly sophisticated, they are being entrusted with tasks that were previously exclusive to humans, such as decisionmaking, problem-solving and knowledge production. However, this has led to questions about the epistemic authority of AI, particularly in relation to human cognition. The question is: Can AI systems be trusted to produce knowledge with apodatic certainty? Can AI systems be trusted to produce knowledge that is reliable, accurate and unbiased or do they introduce new forms of error, bias and uncertainty into the knowledge production process? This works examines these questions through an epistemological analysis of the hybrid intelligence quagmire. It examines the implications of AI-driven knowledge production for our understanding of truth and justification of knowledge. This work undertakes an epistemological analysis of the Hybrid Intelligence Quagmire, focusing on the epistemic authority of AI. It examines the challenges posed by AI-driven knowledge production, the blurring of lines between human and artificial intelligence and the implications for traditional notions of authority and expertise. The work reveals that the Hybrid Intelligence Quagmire demands a reevaluation of epistemological assumptions and the development of new frameworks for understanding the interplay between human and artificial intelligence.

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