Trust Hinders Bidirectional Human-AI Alignment
Trust calibration remains the dominant framing of AI-assisted decision making: the goal is to close the gap between perceived and actual trustworthiness of AI systems so that users rely on them appropriately. We argue that this approach, while useful for decision problems that are well-defined and clearly scoped, overl...
Michaela Benk, Kacper Sokol
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