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Related Questions
- What are common biases that can occur when human curators select, classify, or annotate data?
- In what ways can data quality checks and validation processes lead to representation bias?
- How do biases in data collection methods or instrumentation contribute to representation bias?
- Can biases in data aggregation, sampling, or weighting protocols cause representation bias?
- What role can sampling strategies, such as stratified or cluster sampling, play in introducing or exacerbating representation bias?
- How can contextual factors, like demographics, socio-economic status, or access to resources, influence data curation and lead to representation bias?
- What are some common pitfalls in data preprocessing or feature engineering that can introduce representation bias?
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