Responsible Practices and Governance Standards AIE Practice Questions (Page 4)

Questions 16–20

1. 16expert · hard

   A social media company is developing an AI system to detect hate speech. The training data is collected from public posts and includes user-generated text. The company wants to respect privacy and avoid bias. However, the data contains many slurs and offensive terms that are necessary for the model to learn. What is the best data governance approach?

   • ACollect only data from users who explicitly consent to their posts being used for AI training.
   • BRemove all offensive terms from the training data to protect users and avoid bias.
   • CUse a third-party data provider to obtain the data, shifting responsibility for privacy and bias.
   • DUse a combination of anonymization, strict access controls, and a data ethics review to balance the need for sensitive content with privacy and bias concerns.
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2. 17foundation · easy

   Why is continuous monitoring important for maintaining ethical standards in AI systems?

   • AIt eliminates the need for regular updates.
   • BIt helps detect and address emerging biases or performance degradation over time.
   • CIt reduces the need for stakeholder engagement.
   • DIt guarantees that the AI system will never make mistakes.
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4. 18foundation · easy

   Which practice is essential for data governance in AI systems?

   • AEnsuring data quality through validation and cleaning.
   • BCollecting as much data as possible without regard to consent.
   • CSharing all data publicly to promote transparency.
   • DStoring all data indefinitely without access controls.
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5. 19application · medium

   A global bank is deploying an AI system that monitors transactions for money laundering. The system will process customer data across multiple jurisdictions, including the EU and countries with less strict privacy laws. The bank's compliance team needs to ensure regulatory compliance. What is the most appropriate action?

   • AAnonymize all data before processing so that privacy laws no longer apply.
   • BProcess all data in a single jurisdiction with the least restrictive laws to reduce cost.
   • CApply only the local privacy laws of each country where data is processed.
   • DMap the data flows and apply the most stringent privacy requirements to all customer data, regardless of origin.
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6. 20expert · hard

   A software company is building an AI system for credit scoring. The company operates in multiple countries and wants to adopt a governance framework that is recognized internationally. The company also needs to comply with the EU AI Act and GDPR. Which governance approach best satisfies these requirements?

   • ARely on GDPR compliance as sufficient governance for the AI system.
   • BCreate a proprietary governance framework that is tailored specifically to the company's needs.
   • CAdopt the NIST AI Risk Management Framework as a baseline and map its functions to the EU AI Act and GDPR requirements.
   • DUse only the EU AI Act as the governance framework, since it is the most comprehensive regulation.
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