AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 654 · 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 voice app trained only on adult voices? (a) balanced data (b) one-sided data
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: “add varied examples” adds to bias. (a) True (b) False
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
8. 8.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
9. 9.True or false: “skip testing” helps reduce bias. (a) False (b) True
10. 10.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
13. 13.True or false: “use one group only” adds to bias. (a) True (b) False
14. 14.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
16. 16.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ignore complaints (d) balance the data
17. 17.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
19. 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
21. 21.Which of these adds to bias? (a) ask different people (b) balance the data (c) test on one group only (d) test on many groups
22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
24. 24.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) skip testing (d) test on many groups
25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
26. 26.True or false: “test on many groups” helps reduce bias. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) add varied examples (d) add more of the same
28. 28.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) use one group only
31. 31.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) fix wrong labels (d) copy old unfair choices
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) skip testing (d) ask different people
34. 34.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add more of the same (d) add varied examples
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) add more of the same
36. 36.Which of these adds to bias? (a) test on many groups (b) balance the data (c) fix wrong labels (d) ignore complaints
37. 37.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
38. 38.True or false: “fix wrong labels” adds to bias. (a) True (b) False
39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
40. 40.True or false: “use one group only” helps reduce bias. (a) False (b) True

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