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Related Questions
- Can data augmentation exacerbate existing biases in the training data?
- How does data augmentation impact model performance on underrepresented groups?
- Can data augmentation be used to introduce new biases into a model?
- What are some potential limitations of relying solely on data augmentation to improve model fairness?
- Can data augmentation be used to address fairness issues in models that are already biased?
- How does the quality of the data used for augmentation impact the fairness of the resulting model?
- Can data augmentation be used to create more diverse and representative training datasets?
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