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Manage AI Bias Instead of Trying to Eliminate It
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Manage AI Bias Instead of Trying to Eliminate It

by Sian Townson
January 2023
5 pages
10m
English
MIT Sloan Management Review

Overview

The negative effects of bias in artificial intelligence models’ underlying data has made headlines, and companies need to find ways to address it. But it’s impossible to completely abolish bias in AI data to equitably account for diverse populations — so instead, companies should remediate it to deliberately compensate for unfairness. The author describes a three-step process that can yield positive results for leaders looking to reduce the impact of AI bias.

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Publisher Resources

ISBN: 53863MIT64321