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Related Questions
- What are some common sources of bias in datasets, and how can they be identified?
- How can data curation and annotation methods be used to detect and mitigate bias in datasets?
- What are some best practices for ensuring that data curation and annotation processes are transparent and accountable?
- How can the use of diverse and representative data sources help to reduce bias in datasets?
- What role can active learning and human-in-the-loop methods play in improving the quality and fairness of datasets?
- How can data curation and annotation methods be used to address bias in specific domains, such as healthcare or finance?
- What are some challenges and limitations of using data curation and annotation methods to address bias in datasets, and how can they be overcome?
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