Mitigating bias in training data for generative AI involves several strategies that can be employed at different stages of the AI development lifecycle: Ensure the data used to train the AI model is representative of diverse groups. This involves collecting data from a wide range of sources and demographics to avoid over-representation or under-representation of Read More