How can we evaluate AI performance in real-world scenarios?

How can we evaluate AI performance in real-world scenarios?

Evaluating AI performance in real-world scenarios involves metrics like accuracy, reliability, and user satisfaction.

What specific metrics should we focus on?

Key metrics include precision, recall, F1 score, and user feedback to assess effectiveness and usability.

Can you give an example of a real-world application?

Sure! In healthcare, AI can be evaluated based on its diagnostic accuracy and the impact on patient outcomes.

How do we ensure the AI is unbiased?

To ensure AI is unbiased, we must use diverse training data and regularly audit the algorithms for fairness.