AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 757 · 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: “test on many groups” helps reduce bias. (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
4. 4.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ask different people (d) test on one group only
5. 5.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) test on one group only (d) balance the data
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
7. 7.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
8. 8.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.🖼️ 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
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) balance the data
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) use one group only (d) add more of the same
13. 13.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) ask different people
14. 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
15. 15.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
16. 16.True or false: “add more of the same” adds to bias. (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
18. 18.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) test on one group only (d) add varied examples
19. 19.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
20. 20.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) ask different people
21. 21.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
23. 23.True or false: “skip testing” adds to bias. (a) True (b) False
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
25. 25.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
27. 27.True or false: “ask different people” helps reduce bias. (a) False (b) True
28. 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) skip testing (d) test on many groups
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) the weather (d) its training data
31. 31.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) balance the data (d) ignore complaints
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) use one group only (b) ask different people (c) balance the data (d) add varied examples
34. 34.True or false: “use one group only” adds to bias. (a) False (b) True
35. 35.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
38. 38.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
39. 39.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

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