Transparency for Whom? Assessing Discriminatory Artificial Intelligence

Tom Van Nuenen; Xavier Ferrer; Jose M. Such; Mark Cote

doi:10.1109/MC.2020.3002181

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Transparency for Whom? Assessing Discriminatory Artificial Intelligence

Research output: Contribution to specialist publication › Article

Tom Van Nuenen, Xavier Ferrer, Jose M. Such, Mark Cote

Overview
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Original language	English
Pages	36-44
Number of pages	9
Volume	53
Issue number	11
Journal	COMPUTER
DOIs	https://doi.org/10.1109/MC.2020.3002181
Published	Nov 2020
Additional links	Link to publication in Scopus

King's Authors

Tom Van Nuenen (Informatics)
Jose M. Such (Informatics)
Mark Cote (Digital Humanities)

Abstract

Artificial intelligence decision making can cause discriminatory harm to many vulnerable groups. Redress is often suggested through increased transparency of these systems. But for what group are we implementing it? This article seeks to identify what transparency means for technical, legislative, and public realities and stakeholders.

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