AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 760 · 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 of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) use one group only (d) skip testing
2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) check who is missing
3. 3.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
4. 4.True or false: “use one group only” helps reduce bias. (a) False (b) True
5. 5.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) check who is missing (d) balance the data
8. 8.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) add more of the same (c) fix wrong labels (d) copy old unfair choices
10. 10.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
12. 12.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
13. 13.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
14. 14.True or false: “test on one group only” helps reduce bias. (a) True (b) False
15. 15.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) use one group only (d) check who is missing
16. 16.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
19. 19.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
20. 20.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
22. 22.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
23. 23.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) use one group only (d) add varied examples
24. 24.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
25. 25.Which of these adds to bias? (a) ask different people (b) add more of the same (c) add varied examples (d) balance the data
26. 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
27. 27.True or false: “test on many groups” helps reduce bias. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
29. 29.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on many groups (d) fix wrong labels
30. 30.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
32. 32.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) ask different people (d) skip testing
33. 33.🔍 Which is the odd one out? (a) add more of the same (b) skip testing (c) ignore complaints (d) check who is missing
34. 34.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) test on one group only (d) check who is missing
36. 36.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
37. 37.Which of these adds to bias? (a) test on one group only (b) balance the data (c) test on many groups (d) add varied examples
38. 38.True or false: “check who is missing” helps reduce bias. (a) True (b) False
39. 39.True or false: “ask different people” helps reduce bias. (a) False (b) True
40. 40.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False

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