AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 786 · 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: leaves from every season of the year? (a) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) skip testing (b) add varied examples (c) test on many groups (d) check who is missing
3. 3.True or false: “check who is missing” helps reduce bias. (a) True (b) False
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
5. 5.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add more of the same (d) check who is missing
6. 6.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
8. 8.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
9. 9.True or false: “ignore complaints” adds to bias. (a) False (b) True
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
12. 12.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
13. 13.Which of these adds to bias? (a) test on one group only (b) ask different people (c) fix wrong labels (d) add varied examples
14. 14.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.True or false: “test on many groups” helps reduce bias. (a) False (b) True
18. 18.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
19. 19.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
20. 20.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ask different people (d) add more of the same
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
23. 23.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
24. 24.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
25. 25.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) ignore complaints
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.Which of these helps reduce bias? (a) check who is missing (b) copy old unfair choices (c) skip testing (d) use one group only
29. 29.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) add varied examples
30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) add varied examples
33. 33.True or false: “use one group only” helps reduce bias. (a) False (b) True
34. 34.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) test on one group only
35. 35.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) ask different people
36. 36.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
37. 37.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
38. 38.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) skip testing (d) test on one group only
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
40. 40.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) add more of the same

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