Testing for bias in your AI software: Why it's needed, how to do it
TechBeacon Testing
MARCH 4, 2021
When it comes to artificial intelligence (AI) and machine learning (ML) in testing, much of the interest and innovation today revolves around the concept of using these technologies to improve and accelerate the practice of testing. The more interesting problem lies in how you should go about testing the AI/ML applications themselves. In particular, how can you tell whether or not a response is correct?
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