AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 194 · 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.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
2. 2.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
3. 3.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
5. 5.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: “check who is missing” adds to bias. (a) True (b) False
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
8. 8.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
9. 9.Which of these adds to bias? (a) balance the data (b) check who is missing (c) use one group only (d) add varied examples
10. 10.Which of these helps reduce bias? (a) ask different people (b) add more of the same (c) skip testing (d) test on one group only
11. 11.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
12. 12.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) fix wrong labels
13. 13.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) use one group only
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
17. 17.True or false: “ignore complaints” adds to bias. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
19. 19.True or false: “use one group only” helps reduce bias. (a) True (b) False
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) fix wrong labels
23. 23.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on one group only (d) test on many groups
24. 24.True or false: “ask different people” adds to bias. (a) True (b) False
25. 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
26. 26.True or false: “balance the data” helps reduce bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
30. 30.Which of these adds to bias? (a) add varied examples (b) skip testing (c) fix wrong labels (d) balance the data
31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) use one group only (d) add more of the same
34. 34.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ask different people (d) balance the data
35. 35.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) skip testing
36. 36.Which of these adds to bias? (a) balance the data (b) test on one group only (c) add varied examples (d) check who is missing
37. 37.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
38. 38.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
39. 39.Which of these adds to bias? (a) ask different people (b) test on many groups (c) balance the data (d) ignore complaints
40. 40.True or false: “skip testing” adds to bias. (a) False (b) True

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