AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 440 · 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) use one group only (b) copy old unfair choices (c) check who is missing (d) skip testing
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.Which of these adds to bias? (a) add more of the same (b) ask different people (c) add varied examples (d) fix wrong labels
5. 5.Which of these adds to bias? (a) use one group only (b) test on many groups (c) balance the data (d) fix wrong labels
6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
7. 7.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
8. 8.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
11. 11.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) check who is missing
14. 14.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) ask different people
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) test on many groups (d) add more of the same
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) fix wrong labels (d) copy old unfair choices
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
19. 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
20. 20.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) check who is missing (d) skip testing
21. 21.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) add more of the same (d) test on one group only
26. 26.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
28. 28.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
30. 30.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
31. 31.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) balance the data (d) test on one group only
33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
35. 35.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) fix wrong labels (d) copy old unfair choices
36. 36.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add varied examples (d) use one group only
37. 37.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) balance the data
39. 39.True or false: “balance the data” helps reduce bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) test on many groups (d) ignore complaints

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