What are the emerging trends in evaluation metrics for AI?
An example of an AI chatbot conversation about the future of evaluation metrics in AI.
What are the emerging trends in evaluation metrics for AI?
Emerging trends include a focus on fairness, transparency, and real-world applicability of metrics.
How do we ensure fairness in AI evaluation metrics?
Ensuring fairness involves using diverse datasets and metrics that account for bias and equity.
Can you give examples of new metrics being developed?
Sure! Metrics like F1 score for imbalanced datasets and explainability scores are gaining traction.
What role does user feedback play in these metrics?
User feedback is crucial as it helps refine metrics to better reflect real-world performance and user satisfaction.
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