Maintaining transparency about how AI algorithms are developed, trained, and deployed, along with their potential impacts on different genders, can foster greater accountability. Developers and companies should openly share methodologies and outcomes of bias audits, ensuring stakeholders are informed and can hold them accountable for promoting gender equity in AI.
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