AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 146 · 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: skip testing? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
3. 3.True or false: “test on many groups” adds to bias. (a) True (b) False
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
5. 5.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.True or false: “add varied examples” adds to bias. (a) True (b) False
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
9. 9.True or false: “ask different people” helps reduce bias. (a) False (b) True
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
12. 12.Which of these adds to bias? (a) ask different people (b) add varied examples (c) fix wrong labels (d) ignore complaints
13. 13.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) ignore complaints (d) use one group only
15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) check who is missing (d) ask different people
18. 18.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) fix wrong labels
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) ask different people
21. 21.True or false: “use one group only” adds to bias. (a) False (b) True
22. 22.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
23. 23.True or false: “check who is missing” adds to bias. (a) True (b) False
24. 24.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) skip testing (d) check who is missing
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
26. 26.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
28. 28.🗣️ 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
29. 29.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) check who is missing
30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) check who is missing (d) balance the data
33. 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
36. 36.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
39. 39.True or false: “add more of the same” adds to bias. (a) False (b) True
40. 40.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True

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