AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 985 · 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.🗣️ 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
2. 2.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
3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
4. 4.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) copy old unfair choices (d) add varied examples
5. 5.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
6. 6.Which of these adds to bias? (a) ask different people (b) skip testing (c) fix wrong labels (d) add varied examples
7. 7.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) skip testing (d) fix wrong labels
8. 8.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.True or false: “ask different people” adds to bias. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) check who is missing (d) use one group only
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
12. 12.Which of these helps reduce bias? (a) ignore complaints (b) check who is missing (c) skip testing (d) copy old unfair choices
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
14. 14.Which of these adds to bias? (a) check who is missing (b) add more of the same (c) test on many groups (d) fix wrong labels
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) fix wrong labels (d) ignore complaints
16. 16.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) use one group only
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
19. 19.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) test on one group only (d) add more of the same
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
23. 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
24. 24.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ask different people (d) fix wrong labels
25. 25.True or false: “balance the data” adds to bias. (a) True (b) False
26. 26.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
28. 28.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) use one group only (d) ask different people
29. 29.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) test on one group only (d) use one group only
31. 31.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
32. 32.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
35. 35.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) balance the data (d) ignore complaints
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
37. 37.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
38. 38.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
39. 39.True or false: “test on one group only” helps reduce bias. (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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