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From Algorithms to Accountability: What Global AI Governance Should Look Like
ABUJA, Nigeria, October 14 (IPS) – Recent research from Stanford’s Institute for Human-Centered AI warns that bias in artificial intelligence remains deeply rooted even in models designed to avoid it and can worsen as models grow. From bias in hiring of men over women for leadership roles, to misclassification of darker-skinned individuals as criminals, the stakes are high.
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