AI can be taught to overcome gender bias through a comprehensive strategy of identifying, understanding, and actively combating these biases. This process involves the careful curation of training datasets to ensure they are diverse and representative, continuous monitoring for bias in AI outputs, and employing bias-correction techniques. Additionally, fostering a diverse team of AI developers helps to bring varied perspectives that can identify and mitigate gender biases more effectively.
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