AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 530 · 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.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
2. 2.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) test on one group only
4. 4.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
5. 5.True or false: “test on many groups” adds to bias. (a) True (b) False
6. 6.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on many groups (d) use one group only
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) copy old unfair choices
8. 8.True or false: “skip testing” adds to bias. (a) False (b) True
9. 9.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
11. 11.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
13. 13.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) balance the data (d) copy old unfair choices
14. 14.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) copy old unfair choices (d) use one group only
17. 17.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ignore complaints (d) balance the data
18. 18.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
21. 21.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
23. 23.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) copy old unfair choices (d) skip testing
24. 24.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
25. 25.True or false: “fix wrong labels” adds to bias. (a) False (b) True
26. 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
28. 28.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
31. 31.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) use one group only
32. 32.True or false: “skip testing” helps reduce bias. (a) False (b) True
33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
34. 34.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
35. 35.Which of these helps reduce bias? (a) ask different people (b) use one group only (c) add more of the same (d) copy old unfair choices
36. 36.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) add varied examples
37. 37.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) copy old unfair choices
38. 38.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) ignore complaints (d) use one group only
39. 39.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True

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