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Related Questions
- What strategies can annotators use to recognize and set aside their own biases when labeling data?
- How can annotators ensure that their labeling decisions are consistent and unbiased?
- What role does self-awareness play in minimizing annotator bias during the labeling process?
- Can annotators use data from diverse sources to help reduce their own biases?
- How can annotators use active learning techniques to minimize their own biases?
- What is the impact of annotator bias on the overall performance of machine learning models?
- Can annotators use debiasing techniques, such as data augmentation or adversarial training, to reduce their own biases?
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