AI for Everyone - AI Ethics and Society
An AI system for loan approval was trained mostly on data from one city. What is the likely outcome when used nationwide?
An AI system for loan approval was trained mostly on data from one city. What is the likely outcome when used nationwide?
medium📝 Application Q4 of 15
Step-by-Step Solution
Solution:
Step 1: Understand training data bias
Training mostly on one city means the AI learned patterns specific to that city.Step 2: Predict real-world effect
When used elsewhere, it may misjudge applicants, causing unfair rejections.Final Answer:
It may unfairly reject applicants from other cities -> Option AQuick Check:
Training bias = Unfair rejection [OK]
Quick Trick: Limited data scope causes unfair results outside that scope [OK]
Common Mistakes:
- Assuming AI generalizes perfectly
- Thinking it crashes from data scope
Master "AI Ethics and Society" in AI for Everyone
Want More Practice?
15+ quiz questions · All difficulty levels · Free
Free Signup - Practice All QuestionsMore AI for Everyone Quizzes