AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 294 · 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: “check who is missing” adds to bias. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) ignore complaints
3. 3.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
4. 4.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) copy old unfair choices (d) test on one group only
5. 5.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
7. 7.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
9. 9.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) add varied examples (d) add more of the same
11. 11.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) balance the data (d) check who is missing
12. 12.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
13. 13.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
17. 17.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
18. 18.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
19. 19.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) ignore complaints (d) add more of the same
20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) check who is missing
21. 21.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
24. 24.True or false: “add more of the same” adds to bias. (a) False (b) True
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.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
27. 27.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
28. 28.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
32. 32.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) check who is missing
33. 33.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to 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: neat and messy writing from many people? (a) one-sided data (b) balanced data
36. 36.True or false: “use one group only” adds to bias. (a) False (b) True
37. 37.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
38. 38.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
40. 40.🔍 Which is the odd one out? (a) add varied examples (b) ask different people (c) test on one group only (d) check who is missing

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