What are the common challenges in AI validation?
An example of an AI chatbot conversation about common challenges in AI validation.
What are the common challenges in AI validation?
Some common challenges include data quality, model interpretability, and ensuring fairness in AI systems.
How does data quality affect AI validation?
Data quality is crucial; poor data can lead to inaccurate models and unreliable validation results.
What can be done to improve model interpretability?
Techniques like LIME and SHAP can help make models more interpretable by explaining their predictions.
Can you explain fairness in AI?
Fairness in AI involves ensuring that models do not discriminate against any group and provide equitable outcomes.
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