Confronting and reducing implicit bias and stereotypes within the AI community and in AI systems themselves is necessary. This involves training programs for AI developers and team leaders on unconscious bias, along with the integration of guidelines for ethical AI development that consider gender equity. Regular auditing of AI systems for gender bias and implementing corrective measures when biases are found can mitigate the perpetuation of stereotypes.
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