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Transparency for Whom? Assessing Discriminatory Artificial Intelligence

Research output: Contribution to specialist publicationArticle

Original languageEnglish
Pages36-44
Number of pages9
Volume53
Issue number11
JournalCOMPUTER
DOIs
PublishedNov 2020

King's Authors

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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