AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 64 · 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.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
2. 2.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) ignore complaints
5. 5.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) test on one group only
6. 6.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) add varied examples
7. 7.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add varied examples (d) balance the data
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
9. 9.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) fix wrong labels (d) test on many groups
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
12. 12.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) balance the data (d) add varied examples
14. 14.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
16. 16.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) copy old unfair choices (d) ignore complaints
17. 17.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
18. 18.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
21. 21.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) fix wrong labels
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
23. 23.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
24. 24.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) add more of the same
25. 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (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.True or false: “add varied examples” helps reduce bias. (a) True (b) False
28. 28.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: “test on many groups” helps reduce bias. (a) False (b) True
30. 30.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
31. 31.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
32. 32.True or false: “skip testing” adds to bias. (a) False (b) True
33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
35. 35.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
36. 36.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
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
38. 38.True or false: “test on one group only” adds to bias. (a) False (b) True
39. 39.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) add more of the same (d) test on one group only
40. 40.Which of these adds to bias? (a) skip testing (b) check who is missing (c) test on many groups (d) fix wrong labels

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