AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 83 · 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 of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) add varied examples
2. 2.Which of these adds to bias? (a) ask different people (b) test on one group only (c) balance the data (d) check who is missing
3. 3.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) test on many groups (d) check who is missing
4. 4.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: “balance the data” helps reduce bias. (a) False (b) True
7. 7.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
8. 8.True or false: “skip testing” helps reduce bias. (a) True (b) False
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
10. 10.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) use one group only (d) ask different people
11. 11.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
13. 13.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) balance the data (d) fix wrong labels
14. 14.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on many groups (d) copy old unfair choices
15. 15.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) check who is missing (d) test on many groups
16. 16.Which of these adds to bias? (a) test on many groups (b) use one group only (c) balance the data (d) add varied examples
17. 17.True or false: “test on many groups” adds to bias. (a) True (b) False
18. 18.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
20. 20.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: “add varied examples” adds to bias. (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add more of the same (d) test on many groups
23. 23.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
26. 26.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
28. 28.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) copy old unfair choices
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
32. 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
33. 33.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
36. 36.True or false: “fix wrong labels” adds to bias. (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
39. 39.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ignore complaints (d) use one group only
40. 40.True or false: “test on many groups” helps reduce bias. (a) True (b) False

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