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Transparency for Whom? Assessing Discriminatory Artificial Intelligence
Computer ( IF 2.2 ) Pub Date : 2020-11-01 , DOI: 10.1109/mc.2020.3002181
Tom van Nuenen 1 , Xavier Ferrer 1 , Jose M. Such 1 , Mark Cote 2
Affiliation  

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.

中文翻译:

对谁透明?评估歧视性人工智能

人工智能决策可能对许多弱势群体造成歧视性伤害。通常通过提高这些系统的透明度来建议纠正。但是我们为哪个群体实施它?本文旨在确定透明度对技术、立法和公共现实以及利益相关者意味着什么。
更新日期:2020-11-01
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