Master Fundamentals of Bias and Fairness in AI

Delve into core principles of avoiding prejudice in intelligent systems through simple questions on detection and correction methods.

#algorithmic bias#bias mitigation#fairness#AI bias#ML ethics

Total Questions

10

Difficulty Level

easy

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
What primarily causes bias in AI models?
Question 1
2
Which term describes unequal treatment of groups in AI predictions?
Question 2
3
What is selection bias in AI contexts?
Question 3
4
How can diverse datasets help reduce AI bias?
Question 4
5
What is a common real-world example of AI bias?
Question 5
6
Which metric evaluates fairness across subgroups?
Question 6
7
What step precedes bias mitigation in AI pipelines?
Question 7
8
Confirmation bias in AI refers to what?
Question 8
9
Why is fairness important in deployed AI systems?
Question 9
10
A simple way to audit AI bias is by?
Question 10