A data science team intentionally adds random noise and unexpected typos to a validation dataset to verify that the model's predictions stay consistent. Which responsible AI feature are they primarily evaluating?
Robustness
Privacy
Veracity
Inclusivity
The team is measuring robustness-how well a model maintains reliable performance when inputs deviate from what it saw during training. Veracity focuses on the truthfulness of data and outputs, inclusivity concerns representing different user groups, and privacy relates to protecting sensitive information; none of these address stability under noisy or adversarial inputs.
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