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Understanding Gender and Racial Bias in AI, Part 3

<p class="author">By <a href="https://www.uxmatters.com/authors/archives/2020/11/sarah_pagliaccio.php">Sarah Pagliaccio</a></p> <p>In my four-part series about gender and racial biases in artificial intelligence (AI) and how to combat them, <a href="https://www.uxmatters.com/mt/archives/2020/11/understanding-gender-and-racial-bias-in-ai.php" title="Part 1">Part 1</a> focused on educating UX designers about bias in voice- and facial-recognition software and the AI algorithms and underlying data that power them. <a href="https://www.uxmatters.com/mt/archives/2020/12/understanding-gender-and-racial-bias-in-ai-part-2.php"title="Part 2">Part 2</a> discussed how our everyday tools and AI-based software such as Google Search influence what we see online, as well as in our design software—often perpetuating our biases and whitewashing our personas and other design deliverables. Now, in Part 3, I’ll provide a how-to guide for addressing

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