What are the best practices for evaluating AI systems?
An example of an AI chatbot conversation about best practices for evaluating AI systems.
What are the best practices for evaluating AI systems?
When evaluating AI systems, consider criteria like accuracy, fairness, transparency, and robustness.
How can I ensure the AI is fair and unbiased?
To ensure fairness, use diverse training data, conduct bias audits, and implement fairness metrics.
What metrics should I use to measure accuracy?
Common metrics include precision, recall, F1 score, and area under the ROC curve (AUC-ROC).
Can you explain what robustness means in AI evaluation?
Robustness refers to the AI's ability to perform well under various conditions and resist adversarial attacks.
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