AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 852 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
2. 2.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
3. 3.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
8. 8.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
11. 11.🗣️ 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) children speak too fast (d) the phone was new
12. 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
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 adds to bias? (a) check who is missing (b) ask different people (c) test on many groups (d) add more of the same
15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
16. 16.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) fix wrong labels (d) copy old unfair choices
17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
19. 19.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) ignore complaints
20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) add more of the same (d) check who is missing
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
23. 23.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
24. 24.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) use one group only
25. 25.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) add more of the same (d) add varied examples
26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
27. 27.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on many groups (d) copy old unfair choices
28. 28.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
29. 29.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) fix wrong labels (d) ignore complaints
32. 32.True or false: “test on one group only” helps reduce bias. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) copy old unfair choices
34. 34.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) copy old unfair choices
35. 35.True or false: “add more of the same” helps reduce bias. (a) False (b) True
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) skip testing
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
38. 38.🛠️ Does this reduce bias or add to it: skip testing? (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.True or false: “use one group only” adds to bias. (a) False (b) True

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