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Related Questions
- What are some strategies for human annotators to reduce cognitive biases when labeling data for machine learning models?
- How can annotators ensure consistency in their labeling decisions to minimize bias?
- What are some best practices for annotators to follow when labeling data for machine learning models to prevent bias?
- Can you provide examples of common biases that annotators may introduce when labeling data and how to avoid them?
- How can annotators use active learning techniques to reduce the impact of bias in the labeling process?
- What role do annotators play in ensuring that the training data is representative of the population it will be applied to?
- How can annotators use data quality checks to identify and address potential biases in the labeling process?
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