AI Bias Worksheet for Kids

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

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