There are pros and cons of using synthetic data to train AI models, and data bias is one of those challenges. It’s important to have diversity in model training data, but assessing the quality of that diversity depends what your model is trying to achieve. We debated this challenge as part of our discussion about synthetic data during Episode 5 of The AI Fundamentalists – a podcast about the fundamentals of safe and resilient modeling systems behind the AI that impacts our lives and our businesses.
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