AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 176 · 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: “ignore complaints” adds to bias. (a) False (b) True
2. 2.True or false: “ask different people” adds to bias. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
4. 4.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) use one group only (d) ask different people
6. 6.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
9. 9.True or false: “test on many groups” helps reduce bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) use one group only (d) add varied examples
12. 12.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) ask different people
13. 13.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
14. 14.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) balance the data (d) check who is missing
16. 16.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) test on one group only
17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) check who is missing
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
20. 20.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
23. 23.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
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) add varied examples (d) fix wrong labels
25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
26. 26.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.True or false: “add more of the same” helps reduce bias. (a) True (b) False
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
32. 32.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) use one group only (d) ignore complaints
36. 36.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) skip testing (d) fix wrong labels
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
38. 38.🗣️ 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) the phone was new (d) children speak too fast
39. 39.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data

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