AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 96 · 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 is the odd one out? (a) add varied examples (b) use one group only (c) skip testing (d) copy old unfair choices
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
5. 5.True or false: “test on many groups” adds to bias. (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on one group only (d) add varied examples
8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
12. 12.True or false: “add more of the same” adds to bias. (a) True (b) False
13. 13.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) balance the data
14. 14.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) ignore complaints (d) use one group only
15. 15.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) fix wrong labels (d) use one group only
16. 16.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) add more of the same
17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ignore complaints (d) use one group only
19. 19.True or false: “add varied examples” helps reduce bias. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) add more of the same (b) balance the data (c) test on many groups (d) ask different people
21. 21.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) test on one group only (d) balance the data
22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
23. 23.Which of these adds to bias? (a) ask different people (b) balance the data (c) add varied examples (d) copy old unfair choices
24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
26. 26.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
27. 27.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) use one group only (d) ask different people
28. 28.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
30. 30.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) test on one group only (d) check who is missing
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
32. 32.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
33. 33.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) fix wrong labels (d) ignore complaints
34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) test on many groups (d) use one group only
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
37. 37.True or false: “test on one group only” helps reduce bias. (a) True (b) False
38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False

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