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  1. The Bias Dilemma: The Ethics of Algorithmic Bias in Natural-Language Processing.Oisín Deery & Katherine Bailey - 2022 - Feminist Philosophy Quarterly 8 (3).
    Addressing biases in natural-language processing (NLP) systems presents an underappreciated ethical dilemma, which we think underlies recent debates about bias in NLP models. In brief, even if we could eliminate bias from language models or their outputs, we would thereby often withhold descriptively or ethically useful information, despite avoiding perpetuating or amplifying bias. Yet if we do not debias, we can perpetuate or amplify bias, even if we retain relevant descriptively or ethically useful information. Understanding this dilemma provides for a (...)
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  • Bad beliefs: automaticity, arationality, and intervention.Stephen Gadsby - 2023 - Philosophical Psychology 36 (4):778-791.
    Levy (2021 Levy, N. (2021). Bad beliefs: Why they happen to good people. Oxford University Press.[Crossref], [Google Scholar]) argues that bad beliefs predominately stem from automatic (albeit rational) updating in response to testimonial evidence. To counteract such beliefs, then, we should focus on ridding our epistemic environments of misleading testimony. This paper responds as follows. First, I argue that the suite of automatic processes related to bad beliefs extends well beyond the deference-based processes that Levy identifies. Second, I push back (...)
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  • People underestimate the influence of repetition on truth judgments (and more so for themselves than for others).Simone Mattavelli, Jérémy Béna, Olivier Corneille & Christian Unkelbach - 2024 - Cognition 242 (C):105651.
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