To truly address gender bias, the integration of a gender perspective in AI research and development is essential. This involves not just considering the implications of gender bias at the output level but incorporating gender analysis throughout the AI lifecycle, from initial design to deployment and feedback. Regulations can encourage such practices by mandating gender impact assessments for AI projects, ensuring that gender considerations are integral to the development process.
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