AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 341 · 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) ask different people (b) add varied examples (c) balance the data (d) ignore complaints
2. 2.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
4. 4.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
6. 6.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) copy old unfair choices (d) use one group only
7. 7.True or false: “add varied examples” helps reduce bias. (a) True (b) False
8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
10. 10.True or false: “check who is missing” helps reduce bias. (a) False (b) True
11. 11.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) copy old unfair choices (d) fix wrong labels
12. 12.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add more of the same (d) ignore complaints
13. 13.True or false: “use one group only” adds to bias. (a) True (b) False
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.Which of these adds to bias? (a) add more of the same (b) balance the data (c) fix wrong labels (d) ask different people
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) add varied examples (d) skip testing
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) ask different people (d) use one group only
20. 20.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
22. 22.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
23. 23.Which of these adds to bias? (a) ask different people (b) test on one group only (c) check who is missing (d) balance the data
24. 24.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
25. 25.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
27. 27.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
28. 28.True or false: “add more of the same” helps reduce bias. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add varied examples (d) test on many groups
30. 30.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) balance the data (d) skip testing
31. 31.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
32. 32.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ask different people (d) copy old unfair choices
34. 34.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) copy old unfair choices (d) test on many groups
35. 35.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) test on one group only (d) add varied examples
37. 37.🗣️ 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
38. 38.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
39. 39.True or false: “use one group only” helps reduce bias. (a) False (b) True
40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data

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