Through machine learning algorithms, AI systems dedicated to promoting gender equity in STEM can continuously learn from new data, adapting initiatives to be more effective over time. This adaptability ensures that strategies to bridge the gender gap remain relevant and impactful, adjusting to evolving societal norms and challenges in the STEM landscape.
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