What are the key challenges in balancing accuracy and fairness in AI systems?
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Answer / Ganesh Pratap Singh
Balancing accuracy and fairness in AI systems is challenging because these two objectives often conflict. For instance, increasing fairness may lead to a decrease in accuracy, as a model may be forced to make less accurate predictions for certain groups to ensure equitable outcomes. This tension can be managed by using techniques such as fairness-aware machine learning algorithms, data augmentation, and regularization.
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