|
Question |
Answer |
|
Q1. What does “bias” mean in AI? |
It means unfair or unbalanced learning caused by limited or unequal data. |
|
Q2. How can bias enter an AI system? |
Through unbalanced training data, human mistakes, or unfair algorithms. |
|
Q3. What happens when AI is biased? |
It gives unfair or inaccurate results for some groups. |
|
Q4. What is one way to reduce bias in AI? |
Use diverse, balanced data from all groups. |
|
Q5. Why is fairness important in AI? |
Because technology should treat everyone equally and support all users. |
Lesson 1: What is AI and Why Should I Care?
0/8
Lesson 2: Can Machines Think Like Me?
0/9
Lesson 3: Train the Machine!
0/9
Lesson 4: Bias in AI – Is That Fair?
0/8
Lesson 5: Talking to Machines – Natural Language Processing (NLP)
0/9