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<h1>AI bias and gender equity demand governance, audits, data stewardship, and sponsorship to secure women's economic inclusion.</h1> AI amplifies existing biases, so equitable AI requires deliberate ethical design, inclusion of women and underrepresented groups as data stewards, mandatory AI audits and governance frameworks to ensure parity in error rates, and corporate accountability with active user feedback. Workforce strategies must focus on task-level reskilling and HR-led diversity, while financial and healthcare systems adopt trust, governance and hybrid delivery models to close the gender wealth and wellbeing gaps.