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What techniques can be used to detect bias in AI systems?
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Answer / Sunit Kumar
Techniques for detecting bias in AI systems include fairness testing, which involves comparing the performance of a model on different subgroups to identify disparities, and interpretability methods, such as explainable AI (XAI), that help uncover decision-making processes and identify potential sources of bias. Additionally, statistical tests like the chi-square test or ANOVA can be used to quantify bias in predictive models.
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