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Related Questions
- What methods can be used to detect and address implicit biases in human annotators during the training process?
- How can annotators be encouraged to consider diverse perspectives and experiences when labeling data?
- What role does active learning play in reducing biases in human-annotated data?
- Can you discuss the importance of debiasing techniques in human-annotated datasets?
- What strategies can be employed to increase annotator awareness of their own biases and assumptions?
- How can human evaluators be trained to recognize and mitigate confirmation bias in their labeling decisions?
- What are some best practices for ensuring that human-annotated data is representative of diverse populations and perspectives?
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