What tools can help improve transparency in AI systems?
There are several tools designed to enhance AI transparency, such as LIME, SHAP, and InterpretML. These tools help in understanding model predictions.
Can you explain how LIME works?
LIME, or Local Interpretable Model-agnostic Explanations, works by approximating the model locally with an interpretable model to explain individual predictions.
Are there any tools specifically for auditing AI models?
Yes, tools like AI Fairness 360 and What-If Tool are great for auditing AI models, focusing on fairness and performance metrics.
How can I choose the right tool for my needs?
Choosing the right tool depends on your specific requirements, such as the type of model, the level of transparency needed, and the domain of application.
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