Abstract
Once you’ve laid out the foundations for a responsible AI framework by defining AI principles and ensuring data ethics are applied to the training data, you’ll want to start thinking about the different parts that form a responsible AI framework. One of these is fairness, which is covered in this chapter.
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© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature
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Duke, T. (2023). Fairness. In: Building Responsible AI Algorithms. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9306-5_4
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DOI: https://doi.org/10.1007/978-1-4842-9306-5_4
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-9305-8
Online ISBN: 978-1-4842-9306-5
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