AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 524 · 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: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.True or false: “check who is missing” adds to bias. (a) True (b) False
3. 3.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
5. 5.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) add varied examples
6. 6.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
7. 7.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
8. 8.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
9. 9.True or false: “skip testing” helps reduce bias. (a) False (b) True
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided 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.Which of these adds to bias? (a) ask different people (b) check who is missing (c) test on one group only (d) add varied examples
14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
15. 15.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) ignore complaints (d) test on one group only
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
17. 17.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) skip testing
18. 18.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) ignore complaints (d) skip testing
19. 19.Which of these helps reduce bias? (a) ignore complaints (b) ask different people (c) copy old unfair choices (d) add more of the same
20. 20.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
21. 21.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
22. 22.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
23. 23.True or false: “use one group only” helps reduce bias. (a) True (b) False
24. 24.True or false: “fix wrong labels” adds to bias. (a) False (b) True
25. 25.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
26. 26.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
28. 28.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) ignore complaints (d) check who is missing
29. 29.Which of these adds to bias? (a) check who is missing (b) balance the data (c) skip testing (d) fix wrong labels
30. 30.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) balance the data
31. 31.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) skip testing (d) copy old unfair choices
33. 33.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) balance the data (d) ignore complaints
34. 34.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
37. 37.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) use one group only (d) test on one group only
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
40. 40.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) fix wrong labels (d) copy old unfair choices

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