AI Bias Worksheet for Kids

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

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