What are the best practices for using test data in AI development?

What are the best practices for using test data in AI development?

Some best practices include ensuring data diversity, maintaining data privacy, and regularly updating your test datasets.

How can I ensure data diversity in my test datasets?

You can ensure data diversity by including various demographics, scenarios, and edge cases in your datasets.

What should I do to maintain data privacy?

To maintain data privacy, anonymize sensitive information and comply with regulations like GDPR.

How often should I update my test datasets?

It's recommended to update your test datasets regularly, especially when new data becomes available or when your model's performance declines.