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Related Questions
- What are some common cognitive biases that human evaluators exhibit during the assessment of AI models?
- How can active learning strategies be employed to reduce the impact of human evaluators' biases on AI model evaluation?
- What design principles can be applied to create evaluation protocols that minimize the influence of human evaluators' biases?
- Can machine learning algorithms be used to detect and correct for cognitive biases in human evaluators during AI model evaluation?
- What role does domain expertise play in mitigating the impact of human evaluators' biases on AI model evaluation?
- How can ensemble methods be used to combine the evaluations of multiple human evaluators to reduce the impact of individual biases?
- What are some best practices for providing clear and objective evaluation criteria to human evaluators to minimize the impact of biases?
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