FACING AI: THE EPISTEMOLOGICAL DIMENSION OF TRUST (pages 331-348)

Lei NIU

ABSTRACT: How do we understand trust in human experts? The total evidence view suggests that the beliefs of experts provide additional reasons for beliefs. Correspondingly, one should combine the beliefs of experts with one’s own beliefs and at least give some epistemic weight to one’s own evidence. On the contrary, the preemption view suggests that unequivocal deference to experts can be reliable and rational. Because AI is predictably becoming more accurate and reliable, it makes sense to ask how to trust AI and whether trust in AI is similar to or different from trust in human experts. By comparing human experts with AI and reflecting the debate between the total evidence view and the preemption view, this paper explores the epistemological dimension of trust in AI.

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