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Related Questions
- What are some common biases that human annotators may introduce during the annotation process?
- How can bias be mitigated in the annotation process to improve the accuracy and fairness of machine learning models?
- What are some strategies for evaluating the performance of human annotators in identifying and mitigating bias?
- Can you provide examples of how bias can be introduced in natural language processing tasks, such as text classification or sentiment analysis?
- What role do human annotators play in ensuring that machine learning models are fair and unbiased?
- How can the performance of human annotators be evaluated and improved to reduce the introduction of bias?
- What are some best practices for human annotators to follow to minimize the introduction of bias in machine learning model development?
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