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Transparency for Whom? Assessing Discriminatory Artificial Intelligence

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)36-44
Number of pages9
Issue number11
Accepted/In press6 Jun 2020
PublishedNov 2020


King's Authors


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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