To foster inclusivity, it's vital to use diverse and representative data sets when training AI models in NLP. This approach ensures that AI technologies can understand and respond to a variety of languages, dialects, and cultural nuances. Encouraging the collection and use of diverse data sets promotes fairness and reduces the risk of perpetuating existing inequalities.
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