AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 979 · 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: “skip testing” helps reduce bias. (a) False (b) True
2. 2.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) add more of the same (d) test on one group only
3. 3.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) ask different people (d) skip testing
4. 4.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
6. 6.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) test on many groups (d) ask different people
8. 8.True or false: “fix wrong labels” adds to bias. (a) False (b) True
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) check who is missing
11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
13. 13.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
14. 14.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) add more of the same
15. 15.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) skip testing (d) ignore complaints
16. 16.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) copy old unfair choices (d) test on one group only
17. 17.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) skip testing
18. 18.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
19. 19.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
22. 22.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ask different people (d) use one group only
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) test on one group only (d) add more of the same
24. 24.True or false: “add more of the same” helps reduce bias. (a) True (b) False
25. 25.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
26. 26.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
30. 30.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) copy old unfair choices
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) fix wrong labels (d) ignore complaints
33. 33.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
34. 34.Which of these adds to bias? (a) ask different people (b) add varied examples (c) balance the data (d) copy old unfair choices
35. 35.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
37. 37.True or false: “ask different people” adds to bias. (a) True (b) False
38. 38.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “test on one group only” adds to bias. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) ignore complaints

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