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实体 FAccT

FAccT

PulseAugur coverage of FAccT — every cluster mentioning FAccT across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_06732 ·

    New research critiques data annotation 'consensus trap' and 'ground truth' illusion

    A new paper critiques the concept of "ground truth" in data annotation for machine learning, arguing that human disagreement is often treated as noise rather than a valuable signal. The research highlights how factors l…

  2. RESEARCH · CL_05399 ·

    Bender et al. paper on LLM deployment and ethics gains new accessibility via audio

    A 2021 FAccT paper by Bender, Gebru, McMillan-Major, and Shmitchell, which addresses the environmental costs and biases amplified by large language model training, has been released in an accessible audio format. This p…