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Delve: Overcoming Bias in AI Technologies

Published: 16 February 2021

A new study by Warut Khern-am-nuai, an assistant professor of information systems at Ï㽶ÊÓƵ, proposes a new approach to optimizing the way algorithms process data, without modifying the outcome. To eliminate discrimination in AI, algorithms should see race and gender, according to the study.

This article is brought to you by Delve, the official thought leadership publication of Ï㽶ÊÓƵ's Desautels Faculty of Management.


Delve - Thought leadership from Ï㽶ÊÓƵ’s Desautels Faculty of Management

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Founded in 2019, Delve is the official thought leadership publication of Ï㽶ÊÓƵ’s Desautels Faculty of Management. Under the direction of Professor Saku Mantere, inaugural Editor-in-Chief, Delve features the latest in management thinking that stretches perspectives, sparks new ideas, and brings clarity to decision-makers at all levels and across sectors.

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