AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 197 · 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: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
5. 5.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
8. 8.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
9. 9.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
10. 10.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
11. 11.Which of these helps reduce bias? (a) fix wrong labels (b) test on one group only (c) use one group only (d) skip testing
12. 12.True or false: “use one group only” adds to bias. (a) True (b) False
13. 13.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
16. 16.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) test on one group only
18. 18.True or false: “fix wrong labels” adds to bias. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) balance the data (d) use one group only
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
22. 22.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
23. 23.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
25. 25.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
26. 26.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
27. 27.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) check who is missing (d) ask different people
28. 28.True or false: “balance the data” adds to bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) use one group only (d) fix wrong labels
30. 30.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.Which of these helps reduce bias? (a) ask different people (b) ignore complaints (c) add more of the same (d) skip testing
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
33. 33.True or false: “add more of the same” adds to bias. (a) True (b) False
34. 34.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) skip testing (d) test on many groups
35. 35.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) balance the data (d) fix wrong labels
36. 36.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) balance the data (d) use one group only
37. 37.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) balance the data (d) check who is missing
38. 38.Which of these adds to bias? (a) ask different people (b) use one group only (c) balance the data (d) test on many groups
39. 39.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) use one group only (d) copy old unfair choices

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