AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 471 · 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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
4. 4.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) check who is missing
5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
10. 10.True or false: “test on many groups” helps reduce bias. (a) True (b) False
11. 11.True or false: “ask different people” adds to bias. (a) True (b) False
12. 12.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
15. 15.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
16. 16.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
17. 17.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) check who is missing
18. 18.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
19. 19.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) skip testing (d) copy old unfair choices
20. 20.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) use one group only (d) copy old unfair choices
21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
22. 22.True or false: “test on one group only” adds to bias. (a) False (b) True
23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
24. 24.🖼️ 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
25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
26. 26.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ask different people (d) ignore complaints
27. 27.True or false: “balance the data” adds to bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
29. 29.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
32. 32.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) test on many groups (d) check who is missing
33. 33.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) ask different people (d) ignore complaints
34. 34.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) check who is missing (d) fix wrong labels
35. 35.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) balance the data
36. 36.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) balance the data (d) test on many groups
37. 37.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: “add varied examples” helps reduce bias. (a) True (b) False
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: “fix wrong labels” adds to bias. (a) True (b) False

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