AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 175 · 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.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
4. 4.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) test on one group only
5. 5.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) use one group only (d) skip testing
10. 10.🗣️ 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
11. 11.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) ignore complaints (d) use one group only
12. 12.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) test on many groups
13. 13.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
14. 14.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ignore complaints (d) add varied examples
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
17. 17.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) ask different people
18. 18.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) check who is missing (d) test on many groups
19. 19.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “ask different people” adds to bias. (a) True (b) False
21. 21.Which of these adds to bias? (a) use one group only (b) ask different people (c) add varied examples (d) test on many groups
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on many groups (d) skip testing
24. 24.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) test on many groups (d) test on one group only
25. 25.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
26. 26.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
28. 28.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
29. 29.True or false: “test on many groups” adds to bias. (a) False (b) True
30. 30.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) add varied examples (d) ignore complaints
31. 31.True or false: “test on many groups” helps reduce bias. (a) True (b) False
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) check who is missing (d) test on many groups
34. 34.True or false: “add varied examples” adds to bias. (a) True (b) False
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on one group only (d) balance the data
37. 37.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) skip testing (d) check who is missing
39. 39.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) fix wrong labels (d) skip testing
40. 40.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias

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