What are some effective AI verification methods?
Effective AI verification methods include testing, validation, and auditing to ensure accuracy and reliability.
Can you explain how testing works in AI verification?
Testing in AI verification involves evaluating the model's performance on a set of predefined metrics and datasets.
What role does validation play in this process?
Validation helps to assess the model's generalization ability by using a separate dataset not seen during training.
Are there specific tools used for AI auditing?
Yes, tools like TensorFlow Model Analysis and IBM Watson OpenScale are commonly used for AI auditing.
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