AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 773 · 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) the phone was new (d) few child voices in data
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
4. 4.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
6. 6.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
7. 7.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) test on one group only
8. 8.🔍 Which is the odd one out? (a) balance the data (b) skip testing (c) add more of the same (d) use one group only
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
10. 10.True or false: “ignore complaints” adds to bias. (a) True (b) False
11. 11.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
12. 12.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
13. 13.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
14. 14.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) add varied examples (d) check who is missing
15. 15.True or false: “skip testing” adds to bias. (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
17. 17.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
18. 18.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
19. 19.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
20. 20.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
21. 21.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) fix wrong labels (d) skip testing
22. 22.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
24. 24.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
27. 27.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
28. 28.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
29. 29.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) ask different people (d) check who is missing
30. 30.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) test on many groups
31. 31.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
33. 33.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
34. 34.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) ignore complaints
36. 36.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) test on many groups
37. 37.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
38. 38.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) fix wrong labels (d) skip testing
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 helps reduce bias? (a) skip testing (b) add varied examples (c) use one group only (d) add more of the same

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