Which of the following is a common statistical technique used in fairness testing?

Principal component analysis (PCA)

What is the focus of a discriminatory pattern review in AI model evaluation?

Examining model predictions across different groups to identify patterns of discrimination

Checking the model's training time

Reviewing the code for syntax errors

Ensuring the model is deployed on the correct hardware

A hospital is developing a model to predict patient readmission risk. The training data has a low representation of patients over 80 years old, and the model's false negative rate for that group is 30% versus 15% for younger patients. The hospital wants to improve fairness without sacrificing overall accuracy. The data science team is considering two options: (1) oversample the elderly patients, or (2) apply a post-processing threshold adjustment. Which option is more appropriate, and why?

Oversampling, because it directly increases the number of elderly samples and helps the model learn better patterns

Both are equally effective, so the team should choose based on implementation ease

Post-processing threshold adjustment, because it can directly equalize error rates without changing the underlying model

Neither is appropriate; the team should collect more data from elderly patients

What is the purpose of fairness testing in AI model development?

To ensure the model uses only protected attributes

To reduce the number of features in the model

To compare model performance across different population groups

To increase the overall speed of model training

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Domain 1Objective 3

Conduct Bias Checks (e.g., Model, Data, Algorithm) PMI-CPMAI Practice Questions (Page 2)

Part of the Support Responsible and Trustworthy AI Efforts domain, which accounts for 15% of the PMI-CPMAI exam. PMI does not publish an official question count, but from its 160-minute exam (~65–105 total, ~10–16 in this domain), expect 2–3 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)

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Questions 6–10

6foundation · easy
Which of the following is a common statistical technique used in fairness testing?
Select an answer first
7foundation · easy
What is the focus of a discriminatory pattern review in AI model evaluation?
Select an answer first
8expert · hard
A hospital is developing a model to predict patient readmission risk. The training data has a low representation of patients over 80 years old, and the model's false negative rate for that group is 30% versus 15% for younger patients. The hospital wants to improve fairness without sacrificing overall accuracy. The data science team is considering two options: (1) oversample the elderly patients, or (2) apply a post-processing threshold adjustment. Which option is more appropriate, and why?
Select an answer first
9foundation · easy
What is the purpose of fairness testing in AI model development?
Select an answer first
10foundation · easy
Which of the following is an example of a bias detection metric?
Select an answer first

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Conduct Bias Checks (e.g., Model, Data, Algorithm) PMI-CPMAI Practice Questions (Page 2)

Questions 6–10

Which of the following is a common statistical technique used in fairness testing?

What is the focus of a discriminatory pattern review in AI model evaluation?

What is the purpose of fairness testing in AI model development?

Which of the following is an example of a bias detection metric?

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