AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 387 · 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.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) test on many groups (d) ignore complaints
2. 2.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
3. 3.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) copy old unfair choices (d) add varied examples
4. 4.True or false: “test on many groups” adds to bias. (a) True (b) False
5. 5.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) check who is missing (d) copy old unfair choices
6. 6.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
7. 7.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
8. 8.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) use one group only (d) check who is missing
11. 11.🖼️ 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
12. 12.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
13. 13.🗣️ 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
14. 14.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
15. 15.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) balance the data (d) add varied examples
16. 16.True or false: “balance the data” adds to bias. (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
18. 18.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.True or false: “add varied examples” adds to bias. (a) False (b) True
20. 20.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
21. 21.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) fix wrong labels (d) ask different people
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
23. 23.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) fix wrong labels
24. 24.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
25. 25.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) add varied examples (d) check who is missing
26. 26.True or false: “skip testing” adds to bias. (a) True (b) False
27. 27.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) add more of the same
29. 29.True or false: “use one group only” adds to bias. (a) False (b) True
30. 30.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
31. 31.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) use one group only (d) ask different people
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
33. 33.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
35. 35.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
36. 36.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) add varied examples (d) fix wrong labels
37. 37.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.True or false: “add varied examples” helps reduce bias. (a) True (b) False
39. 39.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
40. 40.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data

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