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How did John Mosquera address potential biases in the chatbot's responses?
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Addressing bias requires careful attention during training and deployment. John likely curated a diverse dataset for training, ensuring it represented various perspectives and avoided discriminatory language. He may have implemented bias detection tools to analyze responses during testing phases. Regular audits of the chatbot's interactions would help identify any unintended biases. Additionally, he might have involved diverse stakeholders in reviewing the chatbot’s responses to ensure they were inclusive and fair. John Mosquera addressed potential biases by curating a diverse training dataset, using bias detection tools during testing, conducting regular audits, and involving diverse stakeholders in response reviews.