AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 963 · 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 is the odd one out? (a) use one group only (b) add more of the same (c) fix wrong labels (d) skip testing
2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) test on many groups
3. 3.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
4. 4.True or false: “ask different people” helps reduce bias. (a) False (b) True
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
6. 6.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
8. 8.True or false: “add more of the same” helps reduce bias. (a) True (b) False
9. 9.True or false: “balance the data” helps reduce bias. (a) False (b) True
10. 10.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) add more of the same (d) fix wrong labels
11. 11.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) ignore complaints
12. 12.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
13. 13.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) copy old unfair choices (d) use one group only
14. 14.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
15. 15.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) ignore complaints
16. 16.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
17. 17.True or false: “test on many groups” helps reduce bias. (a) False (b) True
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
21. 21.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
22. 22.True or false: “fix wrong labels” adds to bias. (a) True (b) False
23. 23.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
27. 27.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) fix wrong labels (d) add varied examples
28. 28.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
29. 29.Which of these adds to bias? (a) balance the data (b) add more of the same (c) fix wrong labels (d) check who is missing
30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) skip testing (d) check who is missing
31. 31.Which of these adds to bias? (a) balance the data (b) test on many groups (c) use one group only (d) add varied examples
32. 32.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) copy old unfair choices (d) test on one group only
33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
36. 36.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) balance the data (d) add more of the same
38. 38.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
39. 39.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
40. 40.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) add varied examples (d) skip testing

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