AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 655 · 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) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
2. 2.True or false: “add more of the same” adds to bias. (a) True (b) False
3. 3.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
6. 6.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
7. 7.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
8. 8.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
10. 10.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
12. 12.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) test on one group only (d) skip testing
13. 13.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
14. 14.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
15. 15.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on one group only (d) fix wrong labels
16. 16.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
18. 18.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) skip testing (d) copy old unfair choices
20. 20.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) fix wrong labels
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
23. 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
24. 24.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
26. 26.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) fix wrong labels (d) ignore complaints
27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
28. 28.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) ask different people (d) check who is missing
30. 30.True or false: “use one group only” helps reduce bias. (a) False (b) True
31. 31.True or false: “add varied examples” helps reduce bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) balance the data (b) check who is missing (c) test on one group only (d) fix wrong labels
33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
34. 34.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
36. 36.True or false: “check who is missing” helps reduce bias. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
38. 38.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) add more of the same (d) skip testing
39. 39.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
40. 40.True or false: “skip testing” helps reduce bias. (a) False (b) True

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