AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 657 · 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: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
2. 2.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ask different people (d) use one group only
3. 3.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
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
6. 6.Which of these adds to bias? (a) test on one group only (b) check who is missing (c) test on many groups (d) fix wrong labels
7. 7.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) use one group only (d) ignore complaints
8. 8.True or false: “test on many groups” adds to bias. (a) True (b) False
9. 9.🖼️ 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
10. 10.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) test on many groups (d) check who is missing
11. 11.Which of these helps reduce bias? (a) ignore complaints (b) balance the data (c) add more of the same (d) use one group only
12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
13. 13.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) ask different people (d) balance the data
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
15. 15.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
16. 16.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) skip testing (d) copy old unfair choices
17. 17.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
18. 18.True or false: “add more of the same” adds to bias. (a) False (b) True
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
20. 20.True or false: “add varied examples” adds to bias. (a) True (b) False
21. 21.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
22. 22.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on one group only (d) ask different people
23. 23.True or false: “balance the data” adds to bias. (a) False (b) True
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 fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) check who is missing (d) test on one group only
27. 27.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
28. 28.True or false: “use one group only” helps reduce bias. (a) False (b) True
29. 29.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) balance the data (d) add more of the same
30. 30.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
32. 32.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
33. 33.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) test on many groups
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
35. 35.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) copy old unfair choices (d) check who is missing
36. 36.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) balance the data (d) add varied examples
37. 37.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) add varied examples
40. 40.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias

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