AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 195 · 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.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
2. 2.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) add more of the same (d) ignore complaints
3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
4. 4.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
5. 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
6. 6.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
7. 7.True or false: “add varied examples” helps reduce bias. (a) False (b) True
8. 8.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) fix wrong labels
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
11. 11.True or false: “skip testing” helps reduce bias. (a) False (b) True
12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
13. 13.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) copy old unfair choices (d) ignore complaints
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
16. 16.Which of these adds to bias? (a) add varied examples (b) ignore complaints (c) check who is missing (d) fix wrong labels
17. 17.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) fix wrong labels (d) add varied examples
20. 20.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
21. 21.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) fix wrong labels (d) check who is missing
22. 22.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) copy old unfair choices (d) add varied examples
25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) balance the data (b) ignore complaints (c) test on many groups (d) check who is missing
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
30. 30.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) copy old unfair choices (d) use one group only
31. 31.True or false: “ask different people” helps reduce bias. (a) True (b) False
32. 32.True or false: “add varied examples” adds to bias. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) use one group only (d) add more of the same
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
35. 35.True or false: “check who is missing” adds to bias. (a) False (b) True
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.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
38. 38.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add more of the same (d) balance the data
39. 39.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
40. 40.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) check who is missing

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