Identify AI Adoption Risks CAIPM Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A manufacturing company is deploying an AI-based predictive maintenance system. The maintenance team has decades of experience but is not familiar with AI tools. The project manager is concerned about resistance to the new system. Which mitigation strategy would best address the operational risk of skill gaps and change management challenges?

   • AReplace the maintenance team with new hires who have AI expertise.
   • BDeploy the system without informing the team to avoid unnecessary resistance.
   • CProvide comprehensive training and involve maintenance staff in the deployment process from the start.
   • DLimit the system's use to a small group of IT specialists only.
   Reveal Solution Discussion Select an answer first
2. 17expert · hard

   A manufacturing company is implementing an AI system to optimize supply chain operations. The system will automate inventory management and ordering. The company's workforce is experienced but not familiar with AI. The program manager has identified that the AI system may disrupt existing workflows and that employees may resist the change. The company has a strong union presence, and any changes to work processes must be negotiated. The program manager needs to mitigate the operational risk of workflow disruption while respecting the union's role. Which strategy is most appropriate?

   • AImplement the AI system immediately to demonstrate its benefits and overcome resistance through results.
   • BOffer financial incentives to employees who accept the new system, but do not involve the union.
   • COutsource the supply chain operations to a third-party logistics provider to avoid internal disruption.
   • DEngage the union early in the process, provide training to employees, and phase in the AI system gradually.
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A mid-sized company is considering adopting an AI system for customer churn prediction. The project has a limited budget, and the finance team is concerned about the uncertainty of ROI. The company also faces a tight deadline to implement the system before the next fiscal year. Which approach best manages the financial risk while meeting the deadline?

   • ADelay the project until the next fiscal year to allow more time for budgeting.
   • BImplement the full system immediately to meet the deadline, accepting the risk of cost overruns.
   • CNegotiate a fixed-price contract with the vendor to eliminate cost overruns.
   • DStart with a small-scale pilot to validate ROI and reduce upfront costs, then scale up if successful.
   Reveal Solution Discussion Select an answer first
5. 19application · medium

   A logistics company is integrating an AI routing system with its existing legacy warehouse management system (WMS). The AI system requires real-time inventory data, but the WMS only updates nightly. The project team is assessing risks. Which technical risk is most likely to cause the AI system to fail in production?

   • AModel accuracy risk, because the routing algorithm may not be optimized.
   • BInfrastructure limitation, because the servers may not have enough CPU capacity.
   • CSystem integration risk, because the AI system will not have timely data from the WMS.
   • DData quality risk, because the inventory data may contain errors.
   Reveal Solution Discussion Select an answer first
6. 20foundation · easy

   An organization is adopting an AI system that may produce biased outcomes and also requires significant new hardware. Which two risk categories do these concerns represent?

   • ALegal and financial
   • BOperational and ethical
   • CTechnical and legal
   • DEthical and technical
   Reveal Solution Discussion Select an answer first