The many facets of data equity

H. V. Jagadish, Julia Stoyanovich, Bill Howe

    Research output: Contribution to journalConference articlepeer-review

    Abstract

    Data-driven systems can be unfair, in many different ways. All too often, as data scientists, we focus narrowly on one technical aspect of fairness. In this paper, we attempt to address equity broadly, and identify the many different ways in which it is manifest in data-driven systems.

    Original languageEnglish (US)
    JournalCEUR Workshop Proceedings
    Volume2841
    StatePublished - 2021
    Event2021 Workshops of the EDBT/ICDT Joint Conference, EDBT/ICDT-WS 2021 - Nicosia, Cyprus
    Duration: Mar 23 2021 → …

    ASJC Scopus subject areas

    • General Computer Science

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