Testing AI and Bias

Testing the functionality of AI-based features and systems is a whole new world. Bias in AI systems is an even newer and more important aspect of testing modern AI products. The world is

awash with AI-based features, the question is how can we test these features and ensure they are high quality. Perhaps more importantly, how can we ensure these products don’t have an

undesirable bias.
 

Jason Arbon shares learnings from testing the relevance and bias in some of the most popular and important AI-based software services today such as Microsoft Bing and Google search.

Jason shares tips on testing AI-based systems in the stages of gathering training data, training processes and productization. Make sure you are on the leading edge of testing techniques in a

world of AI and ensure your product doesn’t suffer avoidable gaffes. This is a nerdy, but important, topic as the scope of testing increases dramatically with the introduction of AI.