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Bias detection and correction – Automatic instruments can flag imbalanced or discriminatory schooling data before it impacts design predictions.Robustness: AI-driven devices has to be actively defended from adversarial assaults, reducing protection risks and enabling self-confidence in method outcomes.It may be hard to detect AI biases in just an