Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and ContestabilityMireia Yurrita, Delft University of Technology; et al.Tim Draws, Delft University of Technology
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Given the clues, question, and answer, an agent searches for and collects candidate distractors. We then verify that distractors do not inadvertently contain the correct answer: given a document and the answer, we extract any occurrence of the answer in any form. If the answer appears, we filter out that distractor. Across 256 tasks, we achieve 84% alignment with distractor filtering.