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