Limited Diversity in Training Data

A fundamental reason behind AI bias is the lack of diversity in the datasets used for training. When an AI system is trained on data that predominantly represents a particular demographic, it struggles to accurately understand and make decisions about individuals outside of that demographic, leading to biased outputs.

A fundamental reason behind AI bias is the lack of diversity in the datasets used for training. When an AI system is trained on data that predominantly represents a particular demographic, it struggles to accurately understand and make decisions about individuals outside of that demographic, leading to biased outputs.

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Training Data Bias

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