AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 715 · 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.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
2. 2.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on many groups (d) test on one group only
8. 8.🗣️ 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
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.Which of these adds to bias? (a) add more of the same (b) test on many groups (c) add varied examples (d) ask different people
11. 11.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
12. 12.True or false: “add varied examples” helps reduce bias. (a) False (b) True
13. 13.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
14. 14.True or false: “test on many groups” helps reduce bias. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) balance the data (d) use one group only
16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
17. 17.True or false: “skip testing” adds to bias. (a) False (b) True
18. 18.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) use one group only (d) ask different people
19. 19.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) ignore complaints (d) copy old unfair choices
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
21. 21.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
22. 22.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) copy old unfair choices (d) fix wrong labels
23. 23.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) use one group only (d) skip testing
24. 24.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
25. 25.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
29. 29.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
30. 30.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
33. 33.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) test on many groups
35. 35.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on one group only (d) ask different people
36. 36.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
37. 37.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “ignore complaints” adds to bias. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) ask different people (d) add varied examples
40. 40.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) test on many groups (d) test on one group only

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