Sustaining AI Transformation and Continuous Improvement CAIPM Practice Questions (Page 10)

Questions 46–50

1. 46application · medium

   A government agency uses an AI system to screen loan applications. The agency is required to provide explanations for adverse decisions. The model is updated periodically, and the agency must ensure that the explanations remain valid after each update. What should the agency implement?

   • AA process to re-validate the model's explainability after every update
   • BA log of all model inputs and outputs without explanation
   • CA policy to keep the model unchanged to avoid invalidating explanations
   • DA requirement to manually review every adverse decision
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2. 47expert · hard

   A hospital's AI system for predicting patient readmission has reduced readmissions by 15%, but the financial benefit is unclear because the system also increased the workload for care coordinators. The hospital's CFO wants to decide whether to continue funding the system. The clinical staff report that the system helps them identify high-risk patients earlier. What should the program manager do to support the funding decision?

   • ARecommend discontinuing the system because the increased workload negates the financial savings.
   • BAsk the clinical staff to document their time spent using the system, but do not include it in the financial analysis.
   • CFocus only on the reduction in readmissions as the key metric for ROI.
   • DConduct a comprehensive value assessment that includes cost savings from reduced readmissions, increased coordinator workload, and qualitative benefits like improved patient outcomes.
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4. 48application · medium

   A healthcare organization uses an AI system to prioritize patient follow-ups. Regulators require that any decision affecting patient care be explainable and auditable. The organization plans to update the model quarterly. Which practice is most important to include in the model update process?

   • AAllow the data science team to approve model changes without business review
   • BDocument the model version, training data, feature importance, and approval for each deployment
   • CRetain only the latest model version to simplify the production environment
   • DAutomatically deploy the new model if it improves accuracy on a holdout test set
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5. 49foundation · easy

   What is a key component of change management when embedding AI adoption into organizational culture?

   • AImplementing AI without any training
   • BAddressing employee concerns and resistance through open communication and support
   • CIgnoring employee feedback to avoid delays
   • DFocusing solely on technical infrastructure
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6. 50expert · hard

   A software company has an AI feature that suggests code completions. The feature is updated weekly, and the team uses an agile process. The team wants to incorporate user feedback more effectively. Currently, feedback is collected through a survey that is sent quarterly. What is the best way to improve the feedback loop?

   • AIncrease the frequency of updates to daily to improve the product
   • BCollect feedback continuously through in-product prompts and analyze it in each sprint
   • CRely on the data science team's judgment instead of user feedback
   • DKeep the quarterly survey because it provides a comprehensive view
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