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Related Questions
- What are the key considerations when designing task-specific transformations to address model biases?
- How can data augmentation techniques be used to reduce model bias?
- What role does human evaluation play in identifying and mitigating model biases?
- Can you provide examples of task-specific transformations for common machine learning tasks, such as text classification or image recognition?
- How can model developers use bias metrics to inform the design of task-specific transformations?
- What are some common pitfalls to avoid when creating task-specific transformations to address model biases?
- How can model developers ensure that task-specific transformations are effective and do not introduce new biases?
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