Fairness means that a model's predictions do not systematically disadvantage or favor any demographic group. Responsible AI practices aim to ensure equitable treatment across sub-populations. High overall accuracy without regard to subgroup performance describes model performance, not fairness. Providing human-readable explanations relates to explainability, and resistance to adversarial inputs is a matter of robustness.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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