The biases of those who collect, select, and process the training data for AI systems can inadvertently influence the data. Developers and data scientists come with their own set of experiences and biases which can affect how they interpret data, make decisions about what data to include or exclude, and how they design the AI's learning algorithms. This can introduce bias into the AI system.
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