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Related Questions
- What are the common pitfalls of stratified sampling that can lead to biased data annotation?
- How can oversampling or undersampling specific classes introduce bias in data annotation?
- What is the impact of using a non-representative sample on the accuracy of machine learning models?
- Can you explain how biased sampling methods can perpetuate existing social biases in data annotation?
- How does the choice of sampling method (e.g., random sampling, cluster sampling) affect the introduction of bias in data annotation?
- What are the consequences of annotating data with biased samples on the performance of downstream AI models?
- Can you describe a scenario where biased sampling methods lead to poor generalizability of AI models?
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