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Related Questions
- What are some common biases that data annotators might introduce into a dataset?
- How can data annotators unintentionally introduce biases into a dataset?
- What are the potential consequences of biased data on a machine learning model's performance?
- Can you provide an example of a scenario where data annotators intentionally introduced biases into a dataset and what were the consequences?
- How can data annotators mitigate biases in a dataset to improve the accuracy of a machine learning model?
- What is the importance of data quality and annotation in ensuring the fairness and reliability of a machine learning model?
- Can you discuss the relationship between data annotation and model interpretability, and how biases can affect both?
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