Bias and fairness testing is a technique needed to test generative AI applications. It's goal is to check if the outputs of AI models is free from stereotypes, bias and discrimitory language. By doing bias and fairness tests while developing a generative AI application we ensure treats diverse inputs equitably and inclusively.
Bias and fairness testing
Test complex APIs and microservices smarter—with confidence.
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