AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 959 · 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.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
2. 2.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
3. 3.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
6. 6.True or false: “ask different people” helps reduce bias. (a) True (b) False
7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
8. 8.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) balance the data (d) check who is missing
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
12. 12.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
14. 14.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) test on many groups
16. 16.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) balance the data (d) fix wrong labels
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) add more of the same
18. 18.True or false: “skip testing” helps reduce bias. (a) True (b) False
19. 19.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
20. 20.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) use one group only
21. 21.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
23. 23.Which of these adds to bias? (a) test on many groups (b) skip testing (c) fix wrong labels (d) ask different people
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) test on many groups (d) check who is missing
25. 25.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
26. 26.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add varied examples (d) skip testing
27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
28. 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
29. 29.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
30. 30.True or false: “use one group only” adds to bias. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) ask different people (d) copy old unfair choices
32. 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
33. 33.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) add more of the same (d) ask different people
34. 34.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
36. 36.True or false: “fix wrong labels” adds to bias. (a) False (b) True
37. 37.True or false: “test on many groups” helps reduce bias. (a) False (b) True
38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
39. 39.True or false: “add more of the same” adds to bias. (a) True (b) False
40. 40.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ignore complaints (d) fix wrong labels

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