What are common deficiencies in AI testing?
Common deficiencies include lack of diverse data, insufficient test cases, and inadequate performance metrics.
How can we improve the testing process for AI?
Improving the process can involve using more representative datasets, automating tests, and continuously monitoring performance.
What role does bias play in AI testing?
Bias can lead to skewed results, making the AI less effective or fair. It's crucial to identify and mitigate bias during testing.
Can you give examples of AI testing failures?
Sure! Examples include facial recognition systems misidentifying individuals and chatbots providing inappropriate responses.
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