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

  • Computer Science(all)

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