AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 663 · 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) fix wrong labels (b) test on many groups (c) use one group only (d) balance the data
2. 2.Which of these adds to bias? (a) balance the data (b) test on many groups (c) ignore complaints (d) fix wrong labels
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
4. 4.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
5. 5.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
7. 7.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) test on many groups (d) fix wrong labels
8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
9. 9.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on many groups (d) skip testing
10. 10.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
11. 11.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
14. 14.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
15. 15.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
17. 17.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
18. 18.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
19. 19.True or false: “add more of the same” adds to bias. (a) False (b) True
20. 20.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.True or false: “test on many groups” adds to bias. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) test on one group only (d) check who is missing
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
25. 25.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) add more of the same (d) skip testing
26. 26.🗣️ 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
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
28. 28.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
30. 30.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) copy old unfair choices (d) ignore complaints
31. 31.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
32. 32.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
35. 35.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
37. 37.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) ask different people (d) balance the data
38. 38.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
39. 39.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
40. 40.True or false: “ask different people” helps reduce bias. (a) True (b) False

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