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Understanding Perceived Trustworthiness as a Basis for Human Oversight in the Wild

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TL;DR

It is argued that understanding how perceived trustworthiness is formed and expressed by users can provide a basis for human oversight of AI systems in the wild and how capturing, measuring, and aggregating perceived trustworthiness can be incorporated into oversight processes without substituting accountability mechanisms.

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