This interdisciplinary volume brings together global experts to explore what it truly means for AI to be responsible. Covering fairness, explainability, safety, accountability, consent, transparency, auditability, and context, it provides practical insights for scholars, practitioners, and policymakers designing trustworthy AI systems.
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