The World Economic Forum’s AI Equity and Inclusion blueprint highlights the risk that AI can reinforce bias and deepen inequities if not designed responsibly. It calls for embedding fairness, transparency, and accountability into the full AI lifecycle—from data collection to deployment. Key actions include diversifying data sources, creating inclusive governance structures, and ensuring representation in AI design and oversight. The report emphasizes collaboration between governments, industry, and civil society to set global standards . By making equity a core design principle, leaders can unlock AI’s benefits while fostering trust, mitigating risks, and driving inclusive growth worldwide.

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