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Related Questions
- What are the types of bias that can exist in machine learning models?
- How do fairness metrics, such as equality of opportunity and predictive rate parity, work in practice?
- Can you provide examples of real-world applications where fairness has been a concern in machine learning?
- What are some common techniques used to address bias and ensure fairness in machine learning models?
- How do machine learning models learn to be biased, and what are the implications for fairness?
- Can you discuss the role of data in perpetuating bias and fairness in machine learning models?
- What are some best practices for collecting and preprocessing data to reduce bias and ensure fairness?
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