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Related Questions
- How do data annotators' cultural backgrounds and biases impact the quality and fairness of annotated data?
- Can data annotators' lack of domain expertise lead to misrepresentation and perpetuation of biases in training data?
- What strategies can data annotators use to mitigate the risk of perpetuating biases in annotated data?
- How do data annotators' working conditions and incentives affect the quality and accuracy of annotated data?
- What role do data annotators play in ensuring that annotated data is representative of diverse perspectives and experiences?
- Can data annotators' annotating processes introduce new biases or reinforce existing ones?
- What is the relationship between data annotators' training and the quality of annotated data in terms of representation bias?
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