AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 653 · 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.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
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
5. 5.Which of these adds to bias? (a) fix wrong labels (b) add more of the same (c) add varied examples (d) check who is missing
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
7. 7.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) skip testing (d) test on many groups
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
9. 9.True or false: “test on many groups” adds to bias. (a) False (b) True
10. 10.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) copy old unfair choices (d) balance the data
11. 11.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
13. 13.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) ignore complaints
14. 14.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) use one group only (d) ignore complaints
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
17. 17.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
19. 19.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
20. 20.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
21. 21.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) balance the data (d) copy old unfair choices
22. 22.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
25. 25.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
26. 26.True or false: “ignore complaints” adds to bias. (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) add more of the same (d) check who is missing
28. 28.True or false: “check who is missing” adds to bias. (a) False (b) True
29. 29.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ask different people (d) balance the data
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) skip testing (d) test on one group only
34. 34.True or false: “add more of the same” helps reduce bias. (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
37. 37.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) ask different people (d) test on one group only
38. 38.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
40. 40.Which of these adds to bias? (a) ignore complaints (b) balance the data (c) test on many groups (d) add varied examples

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