AWS Certified AI Practitioner AIF-C01 Practice Question
A company finds that its customer-service chatbot mislabels requests from customers who write in a regional dialect, while accuracy for other customers remains high. What impact on demographic groups does this situation illustrate?
Improved system throughput after endpoint scaling rather than any bias effect
Equal accuracy across all customer groups, indicating no measurable bias
Higher misclassification rates for the underrepresented dialect caused by training data bias
Lower error for the underrepresented group as a result of effective regularization
The chatbot shows higher error rates for customers who use a regional dialect because that speech pattern is likely under-represented in the training data. This is an example of model bias that disproportionately affects a specific demographic group. The other options either contradict the observed accuracy difference, attribute the effect to an unrelated performance optimization, or incorrectly claim the underrepresented group experiences lower error.
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AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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