AI Bias Worksheet for Kids

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

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