Identify AI Adoption Risks CAIPM Practice Questions (Page 8)

Questions 36–40

1. 36expert · hard

   A healthcare provider is implementing an AI system to predict patient readmission risk. The system will use electronic health records (EHR) from multiple hospitals. The program manager has identified that the EHR data is fragmented, with different coding standards and missing values across hospitals. Additionally, the AI model must be integrated with the existing clinical workflow, and there is a risk that the model's predictions may not be trusted by clinicians. The provider has limited IT resources and must prioritize risks. Which risk should be addressed first?

   • AData quality and standardization, because the model's accuracy depends on consistent and complete data from all hospitals.
   • BSystem integration, because the model must work within the existing EHR system to be useful.
   • CBudget constraints, because limited IT resources may prevent the project from being completed on time.
   • DClinician trust, because if clinicians do not trust the model, they will not use it, regardless of its accuracy.
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2. 37application · medium

   A healthcare AI project team has identified several risks: a potential data breach (high impact, low likelihood), model bias (high impact, high likelihood), and workflow disruption (medium impact, medium likelihood). The team must decide which risk to address first. According to risk prioritization principles, which risk should be addressed first?

   • AModel bias, because it has high impact and high likelihood.
   • BWorkflow disruption, because it is easier to address.
   • CData breach, because it has high impact even though likelihood is low.
   • DAll risks equally, because each is important.
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4. 38foundation · easy

   An AI system performs well in testing but fails when integrated with the company's existing legacy software. Which technical risk does this scenario illustrate?

   • AData quality risk
   • BInfrastructure limitation risk
   • CSystem integration risk
   • DModel accuracy risk
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5. 39foundation · easy

   What is the purpose of assessing the impact and likelihood of AI adoption risks?

   • ATo eliminate all risks from the project
   • BTo prioritize risks and focus mitigation efforts on the most significant ones
   • CTo satisfy external auditors only
   • DTo assign blame for past failures
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6. 40expert · hard

   A mid-sized manufacturing company is considering adopting an AI system for quality control. The system uses computer vision to detect defects on the production line. The initial investment is $1.5 million, and the expected annual savings from reduced waste and rework is $300,000. The company's CFO is concerned about the payback period and the uncertainty of the savings estimate. The program manager has identified that the savings estimate could vary by ±50% depending on the accuracy of the model. The company has a policy that any capital investment must have a payback period of less than 5 years. The program manager needs to assess the financial risk and decide whether to proceed. What should the program manager recommend?

   • AProceed with the project, because the expected payback period is 5 years, which meets the company's policy.
   • BDelay the decision until the model's accuracy can be improved to reduce the uncertainty in the savings estimate.
   • CProceed with the project, but negotiate a performance-based contract with the vendor to guarantee a minimum savings level.
   • DDo not proceed, because the payback period could be as long as 10 years if the savings are at the lower end of the estimate.
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