The conversation around AI bias is being shaped by efforts to diversify the boards and governance bodies overseeing AI projects and organizations. By including voices from a range of backgrounds, these entities can adopt a more holistic perspective on bias, leading to governance practices that prioritize ethical considerations and social impact alongside technical innovation.
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