A public-beach locker kiosk prompt asks an LLM for guest names for test data. The reply returns only English-language given names even though the city serves several language communities. Which defect does this illustrate?
Select an answer to reveal the explanation.
Short Explanation
If the training diet skewed English, the name menu will too. That skewed output is bias from training data, including language under-representation.
Full Explanation
Bias in GenAI outputs stems from imbalances and gaps in training data. Language under-representation can yield test data that fails to reflect the served population. Testers should compare generated personas and data to the coverage strategy and community demographics.