AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 37 · 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: voices of children and adults from many regions? (a) balanced data (b) one-sided data
2. 2.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.True or false: “check who is missing” helps reduce bias. (a) True (b) False
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
7. 7.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) add varied examples (d) fix wrong labels
8. 8.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) ask different people (d) check who is missing
9. 9.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) add more of the same (d) balance the data
10. 10.True or false: “use one group only” helps reduce bias. (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
12. 12.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) skip testing (d) copy old unfair choices
13. 13.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
14. 14.True or false: “ask different people” helps reduce bias. (a) False (b) True
15. 15.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
16. 16.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
17. 17.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
18. 18.🗣️ 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
19. 19.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
20. 20.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
21. 21.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
22. 22.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) use one group only (d) add more of the same
23. 23.True or false: “balance the data” helps reduce bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
25. 25.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
26. 26.Which of these adds to bias? (a) fix wrong labels (b) use one group only (c) ask different people (d) add varied examples
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
28. 28.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) balance the data (d) use one group only
30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) ask different people (d) check who is missing
32. 32.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
33. 33.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
34. 34.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) fix wrong labels (d) use one group only
35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
36. 36.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) copy old unfair choices (d) ignore complaints
37. 37.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
38. 38.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) copy old unfair choices
40. 40.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias

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