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    Safety, alignment & interpretability· 2017

    Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR

    Sandra Wachter (first author) · 2017

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    DOI 10.2139/ssrn.3063289arXiv 1711.00399OpenAlex W2765204106

    On the reading lists

    Why it matters

    Established counterfactual explanations as actionable alternatives to revealing model internals.

    Condensed from the expert lists' notes.

    The record

    First released
    2017 (from arXiv 1711.00399)
    Citations
    3,543 citations, as counted by Semantic Scholar logoSemantic Scholar (non-commercial licence)
    Named by
    both expert lists
    Score
    0.437 · computed rank 312 · consensus 0.6, must-read 0, citations percentile 0.734 (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), and Semantic Scholar logoSemantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.