What are the key steps to audit an AI model?
The key steps include defining the audit scope, collecting data, evaluating model performance, and ensuring compliance.
How do I evaluate the performance of an AI model?
You can evaluate performance using metrics like accuracy, precision, recall, and F1 score, depending on the model's purpose.
What tools can I use for auditing AI models?
Popular tools include TensorFlow Model Analysis, MLflow, and Fairness Indicators, which help in performance and fairness assessments.
Are there specific regulations I should be aware of?
Yes, regulations like GDPR and CCPA may apply, especially regarding data privacy and model transparency.
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