AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 54 · 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: mangoes both raw and ripe? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
3. 3.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
5. 5.Which of these adds to bias? (a) add more of the same (b) add varied examples (c) fix wrong labels (d) ask different people
6. 6.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) use one group only (d) balance the data
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
9. 9.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
10. 10.True or false: “test on one group only” adds to bias. (a) False (b) True
11. 11.True or false: “add varied examples” adds to bias. (a) True (b) False
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (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.🗣️ 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) few child voices in data (d) children speak too fast
16. 16.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
17. 17.Which of these adds to bias? (a) add varied examples (b) use one group only (c) check who is missing (d) ask different people
18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) add more of the same (d) use one group only
20. 20.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) add more of the same (d) skip testing
22. 22.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
23. 23.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) add varied examples (d) balance the data
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) fix wrong labels (d) use one group only
25. 25.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
26. 26.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
27. 27.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) add varied examples
28. 28.True or false: “balance the data” adds to bias. (a) False (b) True
29. 29.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on one group only (d) ask different people
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
32. 32.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) use one group only (d) add more of the same
35. 35.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) ignore complaints (d) add varied examples
36. 36.True or false: “ignore complaints” adds to bias. (a) True (b) False
37. 37.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) test on one group only (d) use one group only
38. 38.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ask different people (d) test on many groups
39. 39.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
40. 40.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data

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