AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 330 · 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.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
2. 2.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
3. 3.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) use one group only (d) copy old unfair choices
5. 5.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) balance the data
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on one group only (d) add more of the same
11. 11.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.True or false: “use one group only” helps reduce bias. (a) False (b) True
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
17. 17.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) fix wrong labels (d) add varied examples
19. 19.Which of these adds to bias? (a) balance the data (b) add varied examples (c) fix wrong labels (d) add more of the same
20. 20.True or false: “check who is missing” adds to bias. (a) False (b) True
21. 21.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) fix wrong labels (d) test on one group only
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
23. 23.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
24. 24.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) test on many groups
25. 25.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: “ignore complaints” adds to bias. (a) False (b) True
28. 28.Which of these adds to bias? (a) test on one group only (b) balance the data (c) fix wrong labels (d) test on many groups
29. 29.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
30. 30.True or false: “ask different people” adds to bias. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) test on many groups (d) copy old unfair choices
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) copy old unfair choices (d) add more of the same
33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) copy old unfair choices (d) ignore complaints
35. 35.True or false: “skip testing” helps reduce bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
38. 38.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias

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