Why Automation Must Be Built Without Bias
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Why Automation Must Be Built Without Bias
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About this listen
This podcast episode discusses the dangers of bias in automated systems. It highlights how automation, while beneficial for efficiency, can perpetuate unfairness if not carefully designed. The episode will provide strategies for IT leaders to create inclusive and ethical AI, focusing on techniques to mitigate bias and build fair, transparent models. This involves using diverse data and promoting equitable business outcomes. The overall goal is to ensure that automation benefits everyone, not just certain groups.
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