AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 703 · 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.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) check who is missing (d) ask different people
2. 2.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
3. 3.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
4. 4.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
5. 5.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
8. 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) copy old unfair choices (d) ask different people
11. 11.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) fix wrong labels
12. 12.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.True or false: “test on many groups” adds to bias. (a) True (b) False
14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
15. 15.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
16. 16.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
17. 17.True or false: “check who is missing” helps reduce bias. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) check who is missing (d) use one group only
19. 19.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) ask different people (d) add varied examples
21. 21.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) check who is missing (d) ask different people
22. 22.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
24. 24.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
25. 25.True or false: “add more of the same” helps reduce bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) add varied examples
27. 27.Which of these adds to bias? (a) test on many groups (b) balance the data (c) ask different people (d) use one group only
28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) ignore complaints (d) skip testing
29. 29.True or false: “skip testing” helps reduce bias. (a) False (b) True
30. 30.True or false: “check who is missing” adds to bias. (a) True (b) False
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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
35. 35.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) ask different people (d) add varied examples
36. 36.True or false: “balance the data” adds to bias. (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
38. 38.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
39. 39.🗣️ 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
40. 40.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data

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