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Related Questions
- How does the use of curated and annotated data affect the accuracy of fairness audits in AI systems?
- What are some common biases that can be identified through the use of curated and annotated data in fairness audits?
- Can you provide examples of industries or applications where curated and annotated data is particularly valuable for fairness audits?
- What are the potential limitations of relying solely on curated and annotated data for fairness audits?
- How does the quality of the curated and annotated data impact the reliability of fairness audit results?
- Can you explain the process of annotating data for fairness audits, and what are the key considerations?
- What are some best practices for ensuring the representativeness of curated and annotated data in fairness audits?
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