To overcome gender bias in AI, a crucial step is the utilization of balanced and unbiased data sets in the AI training process. AI's learning is heavily dependent on the data it's fed, and when this data contains gender biases, the AI will inherently learn these biases. Encouraging the development of databases that are gender-neutral and reflect diversity accurately can significantly reduce the risk of AI perpetuating gender stereotypes.
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