Accuracy Isn’t Enough
Ethical Machines
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Balancing Accuracy and Relevance in AI
This chapter explores the critical differences between accuracy and relevance in AI, arguing that accuracy alone is not enough for meaningful human interactions. It emphasizes the necessity of contextual responses, explainability, and bias mitigation in AI design while addressing the misconceptions held by non-technical stakeholders. The discussion also highlights the importance of interdisciplinary collaboration to create ethical and interpretable AI systems.
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