AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 541 · 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 leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
2. 2.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
4. 4.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) fix wrong labels
5. 5.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.Which of these helps reduce bias? (a) add varied examples (b) skip testing (c) use one group only (d) copy old unfair choices
7. 7.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) skip testing (d) balance the data
9. 9.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
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) skip testing
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
15. 15.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
16. 16.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
19. 19.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
21. 21.Which of these adds to bias? (a) add more of the same (b) balance the data (c) test on many groups (d) check who is missing
22. 22.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) use one group only (d) copy old unfair choices
23. 23.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
24. 24.True or false: “use one group only” helps reduce bias. (a) True (b) False
25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) test on many groups (d) use one group only
27. 27.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) add more of the same (d) test on one group only
29. 29.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
30. 30.True or false: “ask different people” helps reduce bias. (a) False (b) True
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
32. 32.True or false: “fix wrong labels” adds to bias. (a) True (b) False
33. 33.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) copy old unfair choices (d) ask different people
34. 34.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) test on many groups
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
40. 40.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data

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