AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 369 · 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.Which of these adds to bias? (a) skip testing (b) balance the data (c) add varied examples (d) test on many groups
3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
5. 5.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
7. 7.Which of these adds to bias? (a) ask different people (b) balance the data (c) add more of the same (d) fix wrong labels
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
11. 11.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
12. 12.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) test on one group only (d) add more of the same
15. 15.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
16. 16.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) test on one group only (d) copy old unfair choices
17. 17.True or false: “add more of the same” adds to bias. (a) True (b) False
18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) copy old unfair choices (d) fix wrong labels
21. 21.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
22. 22.True or false: “ignore complaints” adds to bias. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) add more of the same (d) ask different people
24. 24.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
26. 26.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
28. 28.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) add varied examples
30. 30.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) skip testing (d) use one group only
32. 32.True or false: “ask different people” adds to bias. (a) True (b) False
33. 33.Which of these adds to bias? (a) ask different people (b) test on one group only (c) test on many groups (d) add varied examples
34. 34.True or false: “test on many groups” adds to bias. (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) ask different people (d) test on many groups
36. 36.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) check who is missing (d) balance the data
37. 37.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) ignore complaints (d) ask different people
38. 38.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) check who is missing (d) copy old unfair choices
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new

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