AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 631 · 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.Which of these adds to bias? (a) balance the data (b) skip testing (c) fix wrong labels (d) ask different people
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
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: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) balance the data
6. 6.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
8. 8.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) use one group only (d) ignore complaints
10. 10.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) skip testing (d) add more of the same
11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
12. 12.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
13. 13.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
14. 14.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
15. 15.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
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) test on one group only (d) check who is missing
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
19. 19.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: “add varied examples” adds to bias. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) use one group only
22. 22.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
24. 24.True or false: “ask different people” adds to bias. (a) True (b) False
25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
26. 26.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
27. 27.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) check who is missing (d) ask different people
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ignore complaints (d) skip testing
29. 29.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
30. 30.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) add more of the same (d) balance the data
31. 31.True or false: “test on one group only” adds to bias. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
33. 33.True or false: “use one group only” helps reduce bias. (a) True (b) False
34. 34.True or false: “skip testing” adds to bias. (a) False (b) True
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.True or false: “add more of the same” helps reduce bias. (a) False (b) True
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) fix wrong labels (c) test on one group only (d) use one group only
38. 38.🔍 Which is the odd one out? (a) balance the data (b) add more of the same (c) ask different people (d) check who is missing
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a broken screen (d) a fair model
40. 40.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data

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