AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 636 · 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: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
2. 2.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
3. 3.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
4. 4.Which of these adds to bias? (a) check who is missing (b) ask different people (c) skip testing (d) balance the data
5. 5.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
6. 6.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
7. 7.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) skip testing (d) copy old unfair choices
8. 8.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) copy old unfair choices
10. 10.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) use one group only (d) balance the data
11. 11.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
13. 13.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
15. 15.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
18. 18.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
21. 21.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) ask different people (d) fix wrong labels
23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
24. 24.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add varied examples (d) use one group only
26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) add more of the same (d) ask different people
27. 27.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
29. 29.True or false: “use one group only” adds to bias. (a) True (b) False
30. 30.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) skip testing (d) ignore complaints
31. 31.True or false: “add varied examples” helps reduce bias. (a) True (b) False
32. 32.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) balance the data (d) ask different people
33. 33.Which of these adds to bias? (a) check who is missing (b) test on one group only (c) add varied examples (d) ask different people
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on one group only (d) balance the data
35. 35.True or false: “ask different people” adds to bias. (a) True (b) False
36. 36.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
37. 37.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) copy old unfair choices (d) add more of the same

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