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    Safety, alignment & interpretability· 2016

    Semantics derived automatically from language corpora contain human-like biases

    Aylin Caliskan (first author) · 2016 · published 2017

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    DOI 10.1126/science.aal4230arXiv 1608.07187OpenAlex W2893425640

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    Why it matters

    Introduced WEAT and demonstrated that language embeddings reproduce measurable human social biases.

    Condensed from the expert lists' notes.

    The record

    First released
    2016 (from arXiv 1608.07187)
    Published
    2017
    Citations
    3,338 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    the chatgpt list only
    Score
    0.339 · computed rank 505 · consensus 0.31, must-read 0, citations percentile 0.702 (2010s · safety), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.