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    Safety, alignment & interpretability· survey· 2019

    A Survey on Bias and Fairness in Machine Learning

    Mehrabi (first author) · 2019 · published 2021

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    DOI 10.1145/3457607arXiv 1908.09635OpenAlex W2969896603

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    Why it matters

    Broad survey of bias sources and mitigation.

    Condensed from the expert lists' notes.

    The record

    First released
    2019 (from arXiv 1908.09635)
    Published
    2021
    Citations
    6,528 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    the grok list only

    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.