Model Bias and Fairness Quiz
Quiz covering Model Evaluation and AI Safety
Model Bias and Fairness Quiz
5 questions | Pass: 70% | Earn 25 points
Questions in this quiz
A preview of the 5 questions covered. Start the quiz above to answer them, check your score, and read the explanations.
- 1
What is the primary goal of conducting a 'bias audit' on a language model before deployment?
- 2
If a model consistently associates specific professions with a particular gender, which type of bias is this primarily demonstrating?
- 3
You are fine-tuning a model on a dataset of customer support tickets. You notice the model is less accurate when responding to dialects used by marginalized communities. What is the most effective strategy to improve fairness?
- 4
Which of the following is a common limitation of using automated 'toxicity classifiers' to ensure AI safety?
- 5
When evaluating fairness using 'Equalized Odds' as a metric, what condition must be satisfied?
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