AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 263 · 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: “fix wrong labels” adds to bias. (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) skip testing (d) add varied examples
3. 3.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
5. 5.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
6. 6.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) ignore complaints
7. 7.Which of these adds to bias? (a) balance the data (b) copy old unfair choices (c) ask different people (d) test on many groups
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
9. 9.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) use one group only (d) add more of the same
10. 10.True or false: “ask different people” helps reduce bias. (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
12. 12.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add varied examples (d) copy old unfair choices
14. 14.True or false: “add more of the same” adds to bias. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add more of the same (d) add varied examples
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
17. 17.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ignore complaints (d) ask different people
18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
22. 22.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: “ignore complaints” adds to bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
26. 26.True or false: “test on many groups” helps reduce bias. (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
28. 28.Which of these adds to bias? (a) test on one group only (b) add varied examples (c) balance the data (d) ask different people
29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) check who is missing
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
32. 32.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
33. 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) ask different people (d) check who is missing
36. 36.🔍 Which is the odd one out? (a) test on many groups (b) skip testing (c) add varied examples (d) ask different people
37. 37.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
38. 38.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add more of the same (d) fix wrong labels
39. 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
40. 40.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data

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