AI Strategy and Planning CRAGE Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A telecom company is planning an AI customer churn prediction system. The roadmap must include regulatory compliance (GDPR) and KPIs. The project has a 12-month timeline. What is the best way to sequence the roadmap?

   • AAssess compliance and build the model in parallel, then set KPIs.
   • BDefine KPIs first, then build the model, then assess compliance.
   • CStart with a compliance assessment, then define KPIs, then build the model.
   • DBuild the model first, then assess compliance, then set KPIs.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A city government is planning to use AI to prioritize public housing applications. The mayor wants the system to be fair and transparent. The data science team notes that historical data reflects past biases. Which planning action best integrates ethical principles into the AI roadmap?

   • APublish the algorithm's code online to ensure transparency, but do not involve the public in defining fairness.
   • BDelay the project indefinitely until a perfect unbiased dataset is available.
   • CUse the historical data as-is to avoid delaying the project, and rely on the model's accuracy as the primary KPI.
   • DConduct a bias audit on the historical data, define fairness metrics, and set a milestone to re-evaluate the model after deployment.
   Reveal Solution Discussion Select an answer first
4. 28application · medium

   A multinational corporation is deploying an AI HR screening tool across several countries. Each country has different labor laws and data protection regulations. The company wants a single global AI strategy. What is the most appropriate approach?

   • AUse the strictest country's regulations for all countries.
   • BDeploy the same tool globally and address legal issues as they arise.
   • CLimit AI deployment to countries with the least regulation.
   • DDevelop a global framework with local compliance adaptations.
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A hospital is deploying an AI diagnostic support system. The strategic goal is to improve patient outcomes while reducing costs. Which KPI set best measures this?

   • ADiagnostic accuracy and patient readmission rates.
   • BNumber of diagnoses and cost per diagnosis.
   • CPatient satisfaction and staff workload.
   • DModel speed and system uptime.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A university is developing an AI system to screen student applications. The admissions office wants efficiency, but the ethics board requires transparency and accountability. The IT department wants to use a proprietary algorithm that is not explainable. What should the planning team do?

   • ADelay the project until a fully transparent algorithm is available.
   • BLet the admissions office decide without ethics board input.
   • CAccept the proprietary algorithm and rely on post-hoc explanations.
   • DRequire the use of explainable AI models and document decision-making processes.
   Reveal Solution Discussion Select an answer first