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Related Questions
- How does the representation of different demographics in the data curation and annotation team affect the model's accuracy and fairness?
- Can a diverse data curation and annotation team help reduce bias in the model, and if so, how?
- What are the potential consequences of a homogenous data curation and annotation team on the model's performance and fairness?
- In what ways can a diverse data curation and annotation team contribute to the development of more inclusive and representative models?
- How does the diversity of the data curation and annotation team impact the model's ability to generalize to different populations and environments?
- What role does cultural competence play in the data curation and annotation process, and how can it impact the model's fairness and quality?
- Can a diverse data curation and annotation team help identify and mitigate biases in the data, and if so, how?
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