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The concept of ensuring AI systems do not discriminate against individuals based on protected attributes is called AI ________.
Answer: Fairness
AI Fairness addresses bias in data, algorithms, and outcomes that may disadvantage groups based on race, gender, caste, religion, etc. Techniques: bias detection metrics, debiasing algorithms, diverse training data, and fairness-aware modeling. Critical for ethical deployment in hiring, lending, policing, and public services.