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View Weekly PageAnswer: Fairness
Fairness in AI requires systems to avoid bias based on race, gender, caste, religion, etc. Techniques include bias detection metrics, diverse training data, and fairness-aware algorithms. Critical for ethical AI deployment in hiring, lending, and public services.