Transparency for Whom? Assessing Discriminatory Artificial Intelligence

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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