What should a comprehensive audit trail for algorithmic decisions include?

The inputs, outputs, and model versions used for each decision

The names of the stakeholders who received the decision

Only the final decision outcome

The cost of each decision in terms of compute resources

An insurance company uses a machine learning model to set auto insurance premiums. A customer calls to ask why their premium increased this year. The customer service representative has access to a SHAP explanation for the customer's specific policy. What is the MOST effective way for the representative to communicate this to the customer?

Provide the customer with the SHAP values for all 50 features in the model

Share the model's overall accuracy metric to reassure the customer the model is reliable

Refer the customer to the model documentation page on the company website

Explain that the increase is due to the top 2-3 contributing factors, such as an increase in local accident rates and a change in the customer's driving record

Which of the following is an appropriate way to communicate a model decision to a non-technical end-user?

Sharing the model's SHAP values in a table

Providing the model's source code

Providing a simple, non-technical explanation of the main factors that influenced the decision

Only stating that the decision was made by an AI model

Which of the following is an example of a model interpretability tool?

SHAP (SHapley Additive exPlanations)

Which of the following is the primary purpose of documenting model selection criteria?

To prove that the model is the most accurate possible

To provide a clear record of why a model was chosen, including the metrics and constraints that influenced the decision

To satisfy legal requirements for model licensing

To list all the data sources used in training

PMICertified Professional in Managing AI (PMI-CPMAI)

Domain 1Objective 2

Manage AI/ML Transparency (e.g., Data Selection, Algorithm Selection) PMI-CPMAI Practice Questions (Page 1)

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 34 practice questions to prepare you well beyond it. (estimate)

34questions here

7free pages

9concepts

15%of the exam

9 Concepts in This Objective

Documenting model selection criteria
Recording decision rationale
Transparent reporting on data sources
Transparent reporting on preprocessing steps
Establishing explainability requirements
Communicating model decisions to stakeholders
Maintaining audit trails for algorithmic decisions
Implementing model interpretability tools
Applying interpretability techniques in practice

Questions 1–5

1foundation · easy
What should a comprehensive audit trail for algorithmic decisions include?
Select an answer first
2application · medium
An insurance company uses a machine learning model to set auto insurance premiums. A customer calls to ask why their premium increased this year. The customer service representative has access to a SHAP explanation for the customer's specific policy. What is the MOST effective way for the representative to communicate this to the customer?
Select an answer first
3foundation · easy
Which of the following is an appropriate way to communicate a model decision to a non-technical end-user?
Select an answer first
4foundation · easy
Which of the following is an example of a model interpretability tool?
Select an answer first
5foundation · easy
Which of the following is the primary purpose of documenting model selection criteria?
Select an answer first

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