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Episode 24: Understanding and Addressing AI Bias in Your Organization
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We explore the pervasive issue of AI bias, defining it and providing real-world examples. We chat about the reasons for AI bias, such as bad data and inadequate testing, and outlines practical steps to mitigate it, including data auditing, building diverse teams, promoting transparency, continuous monitoring, establishing accountability, and educating employees on AI ethics. Ultimately, the piece advocates for building fair and inclusive AI that benefits everyone.
For more, grab a digital or hardcover copy of "The AI Revolution: Leveraging Artificial Intelligence for Business Success"
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