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Related Questions
- What are some common sources of bias in data curation and preprocessing that can impact bias detection?
- How can the use of imbalanced datasets during preprocessing affect bias detection algorithms?
- Can you explain the concept of proxy variables and how they can introduce bias in data curation?
- What role does data normalization play in reducing bias in machine learning models?
- How can data quality issues, such as missing values or outliers, impact bias detection?
- What are some strategies for addressing bias in data curation and preprocessing to improve bias detection?
- Can you discuss the importance of human oversight and review in data curation and preprocessing to detect and mitigate bias?
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