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Related Questions
- What are the common sources of bias that human annotators should be aware of during the annotation process?
- How can human annotators ensure that their annotations are fair and unbiased?
- What are some strategies for mitigating bias in machine learning models through data annotation?
- Can you provide examples of bias in machine learning models and how annotators can identify them?
- How do annotators handle ambiguous or unclear data that may introduce bias in the model?
- What role do human annotators play in ensuring that machine learning models are transparent and accountable?
- How can annotators balance the need for diverse and representative data with the risk of introducing bias through underrepresented groups?
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