The future of gender equality in AI regulations is poised to take a holistic and intersectional approach. Recognizing that gender cannot be viewed in isolation but intersects with race, ethnicity, disability, and socio-economic status, regulatory frameworks will increasingly require AI systems to be designed and audited through an intersectional lens. This means deploying AI algorithms that not only prevent gender bias but also address broader dimensions of inequality.
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