Bias Detection CRAGE Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A model is used to determine eligibility for a government benefit. The fairness audit shows that the model satisfies equalized odds but violates demographic parity. The program's goal is to ensure that eligible individuals are not denied benefits (minimize false negatives) while not giving benefits to ineligible individuals (minimize false positives). Which interpretation is most appropriate?

   • AThe model has equal error rates across groups, but the overall selection rates differ, which may be acceptable if the groups have different base rates of eligibility.
   • BThe model is completely fair because equalized odds is satisfied.
   • CThe model is overfitting because the two metrics conflict.
   • DThe model is biased because demographic parity is not satisfied.
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which fairness metric requires that the proportion of positive predictions is the same across all groups?

   • AEqualized odds
   • BCalibration
   • CDemographic parity
   • DEqual opportunity
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A team is building a model to predict employee performance. The team members have a strong belief that employees who work overtime are more productive. They selectively include features that support this belief and ignore other relevant features. Which type of bias is this?

   • AAlgorithmic bias
   • BConfirmation bias
   • CSelection bias
   • DMeasurement bias
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which type of bias occurs when the data used to train a model is not representative of the population the model will serve?

   • AAlgorithmic bias
   • BConfirmation bias
   • CSelection bias
   • DMeasurement bias
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A team is building a model to predict customer churn. The data was collected through an online survey that was promoted only on social media. The model performs well on the survey respondents but fails on the broader customer base. Which type of bias is most likely present?

   • ASelection bias because the survey sample is not representative of the entire customer base.
   • BConfirmation bias because the team expected social media users to churn more.
   • CAlgorithmic bias because the model uses a neural network.
   • DMeasurement bias because the survey questions were ambiguous.
   Reveal Solution Discussion Select an answer first