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Understanding Gender and Racial Bias in AI, Part 2

<p class="author">By <a href="https://www.uxmatters.com/authors/archives/2020/11/sarah_pagliaccio.php">Sarah Pagliaccio</a></p> <p>This is Part 2 of my four-part series about gender and racial bias in artificial intelligence (AI). In <a href="https://www.uxmatters.com/mt/archives/2020/11/understanding-gender-and-racial-bias-in-ai.php" title="Part 1">Part 1</a>, I discussed gender and racial bias as it relates to voice recognition for voice user interfaces (VUIs), as well as facial recognition—both of which are functions of artificial intelligence—and how to eliminate such biases from our user experiences. Now, in Part 2, I’ll focus on how such biases influence what people like and, thus, impact the creation of user personas—often whitewashing design—and describe how to overcome these impacts.</p> <p class="sub-p"><a href="https://www.nngroup.com/articles/definition-user-experience/" title="Don

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