The Many Facets of Data Equity-Reference-Cited by-同舟云学术

The Many Facets of Data Equity

Published:2022-12-31 Issue:4 Volume:14 Page:1-21
ISSN:1936-1955
Container-title:Journal of Data and Information Quality
language:en
Short-container-title:J. Data and Information Quality

Author:

Jagadish H.¹^ORCID,Stoyanovich Julia²^ORCID,Howe Bill³^ORCID

Affiliation:

1. University of Michigan, Hayward Ave, Ann Arbor, MI, USA

2. New York University, Jay Street, Brooklyn, USA

3. University of Washington, Seattle, USA

Abstract

Data-driven systems can induce, operationalize, and amplify systemic discrimination in a variety of ways. As data scientists, we tend to prefer to isolate and formalize equity problems to make them amenable to narrow technical solutions. However, this reductionist approach is inadequate in practice. In this article, we attempt to address data equity broadly, identify different ways in which it is manifest in data-driven systems, and propose a research agenda.

Funder

US National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems and Management,Information Systems

Link

https://dl.acm.org/doi/pdf/10.1145/3533425

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