The World Economic Forum’s A Holistic Guide to Approaching AI Fairness in Education provides organizations with a framework to embed fairness into AI design and deployment. It highlights the risks of bias in education systems, where algorithms can unintentionally reinforce inequality, and stresses the importance of transparency, accountability, and inclusivity. The guide proposes actions across four areas: governance, workforce training, stakeholder engagement, and technical tools for bias detection and mitigation. Case studies show how diverse perspectives and cross-sector collaboration improve outcomes. By operationalizing fairness, organizations can strengthen trust, equity, and responsible AI adoption in education.

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