Robustness is about making AI reliable in unforeseen conditions, ensuring it performs well even when faced with challenges like data changes or attacks.
Example - Facial Recognition: A robust facial recognition system accurately identifies users under various conditions, like changes in lighting or expression, minimising errors and boosting dependability.
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