AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 200 · 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: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
3. 3.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) add varied examples (d) test on many groups
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) fix wrong labels (d) add more of the same
5. 5.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) use one group only (d) ask different people
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
7. 7.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) skip testing (d) add varied examples
8. 8.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) use one group only (d) add varied examples
9. 9.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) add more of the same (d) test on one group only
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.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
13. 13.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
14. 14.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add varied examples (d) copy old unfair choices
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
16. 16.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
18. 18.True or false: “skip testing” helps reduce bias. (a) True (b) False
19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
20. 20.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
21. 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) use one group only
24. 24.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
25. 25.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) ask different people (d) balance the data
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
30. 30.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
31. 31.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
33. 33.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) test on many groups (d) ask different people
35. 35.True or false: “balance the data” adds to bias. (a) False (b) True
36. 36.True or false: “check who is missing” helps reduce bias. (a) False (b) True
37. 37.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ask different people (d) copy old unfair choices
38. 38.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
39. 39.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
40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True

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