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Related Questions
- What are some ways to implement diverse and inclusive annotator teams to reduce bias?
- How can annotators be trained to recognize and mitigate their own biases?
- What strategies can be used to ensure that annotators understand the context and nuances of the data they are working with?
- How can the annotation process be designed to minimize the influence of annotators' preconceptions and assumptions?
- What role does active learning play in mitigating bias in annotation and how can it be integrated into the process?
- Can you describe methods for monitoring and addressing implicit bias in the annotation team and data?
- What techniques can be employed to validate the quality and accuracy of the annotated data to ensure it is usable for AI model training?
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