Responsible Practices and Governance Standards AIE Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   What is the primary goal of transparency and explainability in AI systems?

   • ATo reduce the storage requirements of AI models.
   • BTo increase the speed of AI model inference.
   • CTo hide the internal workings of AI from competitors.
   • DTo make AI decisions understandable to users and regulators.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A university is developing an AI system to screen student applications for admission. The administration wants to ensure the system is fair and accepted by the campus community. Which stakeholder engagement approach is most effective?

   • ARely solely on the admissions committee's expertise to make decisions.
   • BConduct focus groups with students, faculty, and admissions staff, and incorporate their feedback into the system design and governance.
   • CHire an external consultant to design the system and present the final product to the community.
   • DPublish the system's design on the university website and invite comments after deployment.
   Reveal Solution Discussion Select an answer first
4. 8expert · hard

   A multinational e-commerce company uses an AI system to personalize product recommendations. The system processes data from users in the EU, the US, and other regions. The company is preparing for the EU AI Act's requirements. The system is not classified as high-risk, but the company wants to adopt best practices. Which approach best balances compliance and operational efficiency?

   • AApply the same rigorous documentation and risk management requirements as for high-risk systems to all AI systems.
   • BImplement transparency obligations by providing users with clear information that they are interacting with an AI system and how to opt out.
   • CIgnore the AI Act because the system is not high-risk and the company is not based in the EU.
   • DLimit the system's deployment to non-EU regions to avoid AI Act obligations.
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   An online marketplace uses an AI system to detect fraudulent seller accounts. The system was trained on historical data and deployed. Over time, fraudsters adapt their tactics, and the system's false positive rate increases, causing legitimate sellers to be banned. The marketplace wants to maintain trust and safety. Which approach best addresses this challenge?

   • AEstablish a feedback loop where banned sellers can appeal, and use appeal outcomes to periodically retrain the model with updated labels.
   • BFreeze the model to prevent further changes and maintain consistency.
   • CIncrease the model's sensitivity to catch more fraud, even if it means more legitimate sellers are banned.
   • DManually review every seller account to eliminate the need for the AI system.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A social media company is developing an AI content moderation system. The system will use user-generated text and images. The company operates globally, including in the EU. To comply with GDPR and ensure ethical data governance, what should the company implement?

   • AAnonymize all data at the point of collection and ignore consent requirements.
   • BObtain explicit consent from users for data use, implement data minimization, and provide a mechanism for users to withdraw consent.
   • CUse only public data and assume it is free from privacy obligations.
   • DCollect as much data as possible to improve model accuracy, and store it indefinitely for future research.
   Reveal Solution Discussion Select an answer first