AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 911 · 40 questions

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

1. 1.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) check who is missing
2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) add varied examples
3. 3.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
4. 4.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
5. 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
6. 6.True or false: “test on one group only” adds to bias. (a) False (b) True
7. 7.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
9. 9.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add varied examples (d) add more of the same
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on one group only (d) test on many groups
13. 13.Which of these adds to bias? (a) add varied examples (b) balance the data (c) use one group only (d) fix wrong labels
14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) check who is missing (d) add varied examples
15. 15.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) add varied examples (d) copy old unfair choices
17. 17.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) ask different people (d) add more of the same
18. 18.True or false: “add more of the same” helps reduce bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) test on many groups
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) balance the data
22. 22.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) skip testing (d) add more of the same
27. 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
29. 29.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
31. 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
33. 33.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) copy old unfair choices
34. 34.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
36. 36.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
37. 37.Which of these adds to bias? (a) balance the data (b) ignore complaints (c) test on many groups (d) ask different people
38. 38.True or false: “add varied examples” adds to bias. (a) True (b) False
39. 39.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
40. 40.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students