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The Trust Paradox: A Study on the Overlapping of Trust and Distrust Constructs
Abstract
This chapter discusses the complicated interplay between trust and distrust in artificial intelligence. It argues against the prevalent view of trust and distrust as two contrary states, providing theoretical foundations for the existence of overlapping states in decision-making processes. This revolutionary view is corroborated with both theoretical analysis and methodological novelties by applying a probabilistic model based on the Beta distribution. Thus, it becomes clear that trust in artificial intelligence has to go much beyond just the parameters of credibility and benevolence, which is comparable to human relationships, and include ethical, social, and technical components that are interlinked in the collaboration between humans and machines.
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