AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 620 · 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 voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
2. 2.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) add more of the same (d) add varied examples
3. 3.Which of these adds to bias? (a) ask different people (b) use one group only (c) test on many groups (d) check who is missing
4. 4.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) ask different people (d) copy old unfair choices
5. 5.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) ignore complaints (d) test on one group only
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) fix wrong labels (d) test on one group only
7. 7.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
8. 8.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
9. 9.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) one group only (d) ignoring mistakes
10. 10.True or false: “check who is missing” helps reduce bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) fix wrong labels (d) use one group only
14. 14.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) copy old unfair choices (d) skip testing
16. 16.True or false: “test on many groups” helps reduce bias. (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
18. 18.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
22. 22.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) fix wrong labels (d) skip testing
24. 24.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) add more of the same (d) copy old unfair choices
25. 25.Which of these adds to bias? (a) copy old unfair choices (b) test on many groups (c) ask different people (d) check who is missing
26. 26.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) use one group only (d) copy old unfair choices
27. 27.True or false: “balance the data” adds to bias. (a) False (b) True
28. 28.True or false: “use one group only” helps reduce bias. (a) True (b) False
29. 29.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
30. 30.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
31. 31.Which of these adds to bias? (a) ask different people (b) test on many groups (c) skip testing (d) check who is missing
32. 32.True or false: “test on many groups” adds to bias. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) add varied examples (d) test on many groups
34. 34.True or false: “add varied examples” helps reduce bias. (a) False (b) True
35. 35.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) ignore complaints (d) copy old unfair choices
39. 39.Which of these adds to bias? (a) ignore complaints (b) add varied examples (c) balance the data (d) test on many groups
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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