Identify Guiding Principles for Responsible AI AI-900 Practice Questions (Page 8)

Questions 36–40

1. 36expert · hard

   An autonomous vehicle company has an AI system that controls braking. The system performs well in normal conditions but has not been tested in heavy rain or snow. The company must decide whether to deploy the system in regions with harsh winters. What is the most responsible approach?

   • ADeploy the system everywhere and rely on drivers to take over in bad weather.
   • BDeploy the system only in regions where it has been validated and implement a monitoring system to detect performance degradation in adverse weather.
   • CDeploy the system with a disclaimer that it is not responsible for accidents in bad weather.
   • DDelay deployment in all regions until the system is tested in all weather conditions.
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2. 37foundation · easy

   Which responsible AI principle is primarily concerned with protecting personal data and ensuring that AI systems respect user confidentiality?

   • AFairness
   • BSecurity
   • CTransparency
   • DPrivacy
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4. 38application · medium

   A government agency is building a public-facing AI assistant to help citizens access services. The agency wants to ensure the assistant is inclusive and accessible to all citizens, including those with disabilities and non-native speakers. What should the agency do?

   • ADesign the assistant to support multiple languages and integrate with screen readers and other assistive technologies.
   • BProvide the assistant only through a mobile app to reach more citizens.
   • CTest the assistant with a small group of employees before launch.
   • DUse a single, simple language for all interactions to avoid confusion.
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5. 39expert · hard

   An autonomous drone company uses an AI model for obstacle avoidance. The model was trained in sunny conditions. The company wants to deploy the drone in varied weather, including rain and fog. The model's performance degrades in these conditions. The company must ensure safe operation. What should the company do?

   • AAdd more sensors to the drone to compensate for the model's limitations.
   • BCollect training data from rainy and foggy conditions and retrain the model, then test it in those conditions before deployment.
   • CDeploy the drone only in sunny weather and avoid rainy or foggy conditions.
   • DUse a more complex model architecture to improve accuracy in all conditions.
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6. 40application · medium

   A healthcare provider uses an AI system to recommend treatment plans. A patient asks why a particular treatment was recommended. The provider wants to be transparent about the AI's decision. What should the provider do?

   • AShow the patient the raw model output and confidence score.
   • BProvide the patient with an explanation of the key factors that influenced the recommendation.
   • CTell the patient that the AI is highly accurate and they should trust it.
   • DRefer the patient to the AI vendor's documentation.
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