AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 177 · 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.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ask different people (d) copy old unfair choices
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) ignore complaints (d) copy old unfair choices
6. 6.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) ask different people (d) test on many groups
7. 7.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) test on one group only
9. 9.True or false: “test on many groups” helps reduce bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
13. 13.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
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
16. 16.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
18. 18.True or false: “use one group only” helps reduce bias. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) add varied examples
20. 20.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) ignore complaints (d) add more of the same
21. 21.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
22. 22.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
23. 23.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🖼️ 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
25. 25.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) use one group only (d) test on many groups
26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
27. 27.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) check who is missing (d) ask different people
29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) ask different people
30. 30.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
31. 31.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add varied examples (d) add more of the same
32. 32.True or false: “balance the data” adds to bias. (a) True (b) False
33. 33.True or false: “test on many groups” adds to bias. (a) True (b) False
34. 34.True or false: “ignore complaints” adds to bias. (a) False (b) True
35. 35.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
36. 36.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
37. 37.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) fix wrong labels (d) balance the data
38. 38.Which of these adds to bias? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) fix wrong labels
39. 39.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) ignore complaints (d) add more of the same
40. 40.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) skip testing (d) test on one group only

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