Which step helps make Artificial Intelligence fair?
Answer and explanation
Correct answer: Using diverse and balanced data
Diverse and balanced data gives the system examples from different groups, conditions, and relevant situations. This can reduce the chance that the model will learn a narrow or unfair pattern. It does not guarantee fairness by itself; testing, monitoring, appropriate design, and human review are also important for finding remaining problems.
Frequently asked questions
What is the correct answer to this question?
Using diverse and balanced data
Why is this the correct answer?
Diverse and balanced data gives the system examples from different groups, conditions, and relevant situations. This can reduce the chance that the model will learn a narrow or unfair pattern. It does not guarantee fairness by itself; testing, monitoring, appropriate design, and human review are also important for finding remaining problems.
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.
