In which situation can bias increase in Artificial Intelligence?
Answer and explanation
Correct answer: When data is one-sided
One-sided or unrepresentative data may leave some groups, situations, or experiences missing. If an AI system learns from that incomplete picture, its predictions can systematically favour some cases and disadvantage others. Balanced data, clear goals, and human review can help detect or reduce bias, although they do not guarantee perfection.
Frequently asked questions
What is the correct answer to this question?
When data is one-sided
Why is this the correct answer?
One-sided or unrepresentative data may leave some groups, situations, or experiences missing. If an AI system learns from that incomplete picture, its predictions can systematically favour some cases and disadvantage others. Balanced data, clear goals, and human review can help detect or reduce bias, although they do not guarantee perfection.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Reflection, Project Cycle, and Ethics. Topic: AI Ethics.
