AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 749 · 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.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
2. 2.True or false: “ask different people” helps reduce bias. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
5. 5.True or false: “balance the data” adds to bias. (a) True (b) False
6. 6.True or false: “use one group only” helps reduce bias. (a) True (b) False
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) balance the data
8. 8.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) skip testing
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) copy old unfair choices
10. 10.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) fix wrong labels (d) add more of the same
11. 11.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) add more of the same (d) test on one group only
12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
13. 13.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) ignore complaints
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
15. 15.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
16. 16.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) check who is missing
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) use one group only (d) test on one group only
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
21. 21.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
23. 23.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) test on one group only (d) add varied examples
24. 24.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
25. 25.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
26. 26.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
28. 28.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) use one group only (d) copy old unfair choices
29. 29.True or false: “check who is missing” helps reduce bias. (a) True (b) False
30. 30.Which of these adds to bias? (a) add varied examples (b) use one group only (c) test on many groups (d) check who is missing
31. 31.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
32. 32.True or false: “add more of the same” adds to bias. (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
34. 34.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
36. 36.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) balance the data (d) test on one group only
38. 38.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
39. 39.True or false: “add varied examples” adds to bias. (a) False (b) True
40. 40.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

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