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Related Questions
- What are the key steps involved in implementing active learning to identify bias in datasets?
- How can human evaluators be involved in the active learning process to mitigate bias in datasets?
- What are some common techniques used to select the most informative samples for active learning in biased datasets?
- Can you explain the concept of uncertainty sampling and its application in active learning for bias mitigation?
- How does active learning compare to other methods of addressing bias in datasets, such as data preprocessing or algorithmic adjustments?
- What are some potential challenges and limitations of using active learning to identify and mitigate bias in large datasets?
- How can active learning be integrated with other methods, such as fairness metrics or audit tools, to improve bias detection and mitigation in datasets?
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