AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 365 · 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.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
3. 3.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) check who is missing
4. 4.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
5. 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
7. 7.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) add more of the same (d) add varied examples
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
10. 10.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
11. 11.Which of these adds to bias? (a) ask different people (b) skip testing (c) test on many groups (d) fix wrong labels
12. 12.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) add more of the same
14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.True or false: “add varied examples” helps reduce bias. (a) True (b) False
17. 17.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) use one group only (d) check who is missing
18. 18.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) ignoring mistakes (d) fewer tests
19. 19.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
20. 20.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
21. 21.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) test on one group only (d) add more of the same
22. 22.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) test on one group only (b) balance the data (c) ignore complaints (d) skip testing
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.True or false: “add varied examples” adds to bias. (a) False (b) True
26. 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
28. 28.True or false: “add more of the same” helps reduce bias. (a) True (b) False
29. 29.Which of these helps reduce bias? (a) add more of the same (b) check who is missing (c) test on one group only (d) use one group only
30. 30.True or false: “skip testing” helps reduce bias. (a) True (b) False
31. 31.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
34. 34.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) use one group only (d) ignore complaints
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
36. 36.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) ask different people (d) add more of the same
37. 37.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
38. 38.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) fix wrong labels
39. 39.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) balance the data (d) copy old unfair choices
40. 40.True or false: “skip testing” adds to bias. (a) False (b) True

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