AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 870 · 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: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
3. 3.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) test on many groups (d) use one group only
4. 4.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) add varied examples (c) test on one group only (d) skip testing
6. 6.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) its screen size (d) the weather
8. 8.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) add varied examples (d) copy old unfair choices
9. 9.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
12. 12.True or false: “fix wrong labels” adds to bias. (a) False (b) True
13. 13.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.Which of these adds to bias? (a) test on many groups (b) ask different people (c) copy old unfair choices (d) check who is missing
15. 15.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
16. 16.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
17. 17.True or false: “ignore complaints” adds to bias. (a) False (b) True
18. 18.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) balance the data (d) skip testing
19. 19.True or false: “test on many groups” helps reduce bias. (a) True (b) False
20. 20.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) test on one group only (d) check who is missing
21. 21.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
22. 22.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
23. 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
24. 24.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
25. 25.True or false: “test on one group only” helps reduce bias. (a) False (b) True
26. 26.True or false: “ask different people” helps reduce bias. (a) True (b) False
27. 27.True or false: “ask different people” adds to bias. (a) False (b) True
28. 28.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
29. 29.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) use one group only (d) test on one group only
30. 30.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) add varied examples (d) ask different people
31. 31.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) use one group only (d) test on many groups
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
35. 35.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
36. 36.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) ask different people
38. 38.Which of these adds to bias? (a) test on many groups (b) skip testing (c) check who is missing (d) add varied examples
39. 39.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) add more of the same (d) test on many groups
40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data

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