AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 198 · 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.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) add varied examples (d) ask different people
3. 3.True or false: “ask different people” adds to bias. (a) True (b) False
4. 4.Which of these adds to bias? (a) use one group only (b) fix wrong labels (c) test on many groups (d) add varied examples
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
7. 7.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
8. 8.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: “add more of the same” helps reduce bias. (a) False (b) True
10. 10.True or false: “add varied examples” adds to bias. (a) True (b) False
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
12. 12.🖼️ 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
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) the phone was new (d) it was a rainy day
14. 14.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) fix wrong labels (d) ignore complaints
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
16. 16.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add varied examples (d) add more of the same
17. 17.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
18. 18.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) fix wrong labels (d) add varied examples
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
20. 20.True or false: “check who is missing” helps reduce bias. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) add more of the same (d) add varied examples
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
24. 24.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) add more of the same (d) test on one group only
28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) use one group only (b) add varied examples (c) fix wrong labels (d) balance the data
30. 30.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) use one group only
32. 32.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) check who is missing
33. 33.True or false: “test on one group only” adds to bias. (a) False (b) True
34. 34.Which of these adds to bias? (a) check who is missing (b) balance the data (c) copy old unfair choices (d) test on many groups
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) skip testing (d) balance the data
39. 39.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias

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