Ernesto Calvo
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Invisibilization as a Source of Probability Bias in Language Models
According to the abstract, a preprint tested leading OpenAI and Anthropic models on a trust game with 6,600 sessions, varying the described identity of the person reporting. The authors report the models more often declined to assess a Black-described reporter, 46% of the time, than a white-described one, 9%.