Recent Advancements and Future Directions in AI AIE Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A city government plans to deploy an AI system that predicts traffic congestion and adjusts traffic light timing. The system will use real-time data from sensors and cameras. Which societal impact must the city address before deployment?

   • AGuaranteeing the AI system will eliminate all traffic accidents.
   • BEnsuring data privacy and avoiding bias in traffic predictions across different neighborhoods.
   • CMaking the AI system's code open-source to allow public modification.
   • DReplacing all human traffic controllers with the AI system immediately.
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A non-profit organization wants to use AI to help caseworkers identify families at risk of homelessness. The AI will analyze data from multiple agencies. What is the most critical ethical consideration?

   • AAutomating caseworker decisions to reduce human error.
   • BMaximizing the number of families identified regardless of accuracy.
   • CEnsuring the AI's decisions are explainable and free from bias against vulnerable populations.
   • DUsing the most advanced AI model available to ensure high performance.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A government agency is exploring AI to automate the review of visa applications. The agency must ensure decisions are fair and can be appealed. What is the most important design principle?

   • AOptimize the AI to approve as many applications as possible.
   • BUse a fully autonomous AI to reduce processing time.
   • CKeep the AI's decision logic secret to prevent gaming.
   • DProvide explainable AI decisions with a clear human appeal process.
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A customer-support organization wants to deploy an AI system that drafts responses to routine email inquiries. The team has a large dataset of past resolved tickets and needs the system to generate coherent, context-aware replies. Which approach best fits this requirement?

   • AFine-tune a large language model on the historical ticket data
   • BTrain a convolutional neural network from scratch on the ticket text
   • CDeploy a classic decision tree classifier to predict the best reply from a fixed set
   • DUse a rule-based keyword matching system
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A multinational corporation wants to deploy an AI system for employee performance reviews. The system must be consistent across regions but also respect local labor laws that require human oversight. The company has offices in countries with varying data privacy regulations. Which strategy best satisfies these conflicting requirements?

   • ADeploy a centralized AI model with region-specific human review checkpoints
   • BDeploy the system only in regions with no data privacy laws
   • CDevelop separate AI models for each region with no common standards
   • DUse a single fully automated system with no human involvement
   Reveal Solution Discussion Select an answer first