AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 847 · 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) one-sided data (b) balanced data
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) skip testing
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
4. 4.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) add varied examples (d) add more of the same
5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
6. 6.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
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) add more of the same (d) check who is missing
9. 9.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
11. 11.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) test on one group only (d) ask different people
12. 12.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ask different people (d) fix wrong labels
13. 13.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
19. 19.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
20. 20.True or false: “add more of the same” adds to bias. (a) True (b) False
21. 21.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
22. 22.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.Which of these helps reduce bias? (a) balance the data (b) test on one group only (c) use one group only (d) copy old unfair choices
25. 25.True or false: “ask different people” helps reduce bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add varied examples (d) use one group only
27. 27.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
28. 28.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) test on one group only (d) add varied examples
29. 29.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
30. 30.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “balance the data” helps reduce bias. (a) False (b) True
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) check who is missing
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.True or false: “test on one group only” adds to bias. (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
38. 38.Which of these helps reduce bias? (a) use one group only (b) fix wrong labels (c) test on one group only (d) ignore complaints
39. 39.🖼️ 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
40. 40.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) use one group only (d) test on one group only

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