Governance, Ethics, and Responsible AI in Adoption CAIPM Practice Questions (Page 9)

Questions 41–45

1. 41expert · hard

   A pharmaceutical company is using AI to accelerate drug discovery. The AI system will analyze patient genomic data. The company operates in multiple countries with varying data protection laws. The program manager must design a governance framework. What is the most critical component?

   • AA model explainability tool to interpret AI predictions for researchers.
   • BA stakeholder communication plan to update the public on research progress.
   • CA model performance monitoring system to track accuracy over time.
   • DA data governance policy that specifies how genomic data is collected, stored, shared, and retained across jurisdictions.
   Reveal Solution Discussion Select an answer first
2. 42application · medium

   A company is deploying an AI system that uses personal data of EU citizens. The company is based outside the EU. What is the most important compliance consideration?

   • AEnsure that data transfers from the EU comply with GDPR requirements, such as standard contractual clauses or adequacy decisions.
   • BStore all data on servers located in the EU to avoid GDPR entirely.
   • CObtain consent from every EU citizen whose data is used in the AI system.
   • DEnsure that the AI system is not used for any purpose that could be considered high-risk under the EU AI Act.
   Reveal Solution Discussion Select an answer first
4. 43foundation · easy

   Which ethical principle requires that the decision-making process of an AI system be understandable to humans?

   • APrivacy
   • BBeneficence
   • CRobustness
   • DTransparency
   Reveal Solution Discussion Select an answer first
5. 44application · medium

   A multinational bank is deploying an AI system that screens loan applications. The system will process personal data of EU citizens and will be deployed in the EU region. The bank's legal team wants to ensure compliance with the EU AI Act and GDPR. Which action should the AI program manager prioritize?

   • AObtain explicit consent from every loan applicant before processing their data through the AI system.
   • BImplement a risk-based governance framework that classifies the system as high-risk and establishes human oversight and documentation requirements.
   • CEnsure all training data is anonymized so that GDPR does not apply to the system.
   • DDeploy the system on-premises in the EU to avoid any cross-border data transfer restrictions.
   Reveal Solution Discussion Select an answer first
6. 45expert · hard

   A company is developing an AI system for medical diagnosis. The system has shown high accuracy in clinical trials but has not been tested on certain ethnic groups. The company is under pressure to launch. The AI program manager must balance the need for speed with responsible AI. What is the best approach?

   • ALaunch the system without any post-market surveillance to save costs.
   • BLaunch the system with a clear plan for post-market surveillance and a commitment to update the model as real-world data is collected.
   • CDelay the launch until the system is tested on all ethnic groups, regardless of the time required.
   • DLaunch the system only in regions with similar ethnic demographics to the training data.
   Reveal Solution Discussion Select an answer first