From the course: AI for Managers: Elevate Your Coaching, Feedback, and Employee Engagement Using AI Tools by Pearson

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Recognizing and mitigating AI biases

Recognizing and mitigating AI biases

From the course: AI for Managers: Elevate Your Coaching, Feedback, and Employee Engagement Using AI Tools by Pearson

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Recognizing and mitigating AI biases

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AI or artificial intelligence has some flaws, some things you need to be aware of. One of them is how it can learn biases and share them with you as it drafts feedback. AI systems reflect human bias because they learn from human-created data and language. This sometimes means you'll see feedback that feels unfair, outdated, or doesn't match with your values. This is why it's so key that when you draft something, you check it so it doesn't feel ineffective or inappropriate for your situation. Bias in AI feedback comes in a few places. There's training data bias. AI learns from books, articles, and data that may include gender, racial, or cultural stereotypes. Here's an example. Leadership books from the 1950s likely emphasized certain perspectives over others when the leaders were male. There's also bias in the algorithm. AI can identify patterns but it doesn't know what's fair or right. It just repeats what it's seen often. Also, if most examples of CEOs are male, then AI might…

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