What is model auditing in AI?
Model auditing in AI refers to the process of evaluating and verifying the performance, fairness, and compliance of AI models.
Why is model auditing important?
It's crucial for ensuring that AI models are reliable, unbiased, and adhere to ethical standards, especially in sensitive applications.
What are the common techniques used in model auditing?
Common techniques include performance evaluation, bias detection, explainability assessments, and compliance checks.
How often should model auditing be performed?
Model auditing should be performed regularly, especially after significant updates or when new data is introduced.
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