AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 854 · 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: photos of people from only one age group? (a) balanced data (b) one-sided data
2. 2.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) test on many groups (d) add varied examples
3. 3.Which of these adds to bias? (a) skip testing (b) check who is missing (c) test on many groups (d) ask different people
4. 4.True or false: “check who is missing” adds to bias. (a) True (b) False
5. 5.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
7. 7.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
8. 8.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ignore complaints (d) ask different people
9. 9.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
10. 10.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) add more of the same (d) fix wrong labels
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) ignore complaints (d) skip testing
14. 14.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
16. 16.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) copy old unfair choices
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) test on many groups
18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) fix wrong labels (d) add more of the same
20. 20.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) test on one group only
22. 22.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
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.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
25. 25.True or false: “use one group only” helps reduce bias. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
28. 28.True or false: “ignore complaints” adds to bias. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
30. 30.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
31. 31.True or false: “balance the data” adds to bias. (a) False (b) True
32. 32.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
33. 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
34. 34.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
35. 35.True or false: “skip testing” adds to bias. (a) True (b) False
36. 36.True or false: “add varied examples” adds to bias. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
38. 38.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) use one group only (d) ignore complaints
40. 40.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data

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