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Related Questions
- How do human evaluators determine the fairness of AI models in a real-world setting?
- What are some common pitfalls of using human evaluation to assess the fairness of AI models?
- Can human evaluators be biased in their assessment of AI model fairness, and if so, how can this be mitigated?
- What types of scenarios are most suitable for human evaluation of AI model fairness, and why?
- How do human evaluators balance the trade-off between accuracy and fairness in AI model assessment?
- Can human evaluation alone be sufficient to ensure the fairness of AI models, or are other methods necessary?
- What are some ways to increase the reliability and generalizability of human evaluations of AI model fairness?
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