AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 667 · 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) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) add varied examples (b) ask different people (c) check who is missing (d) test on one group only
3. 3.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) balance the data (d) check who is missing
4. 4.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) skip testing (d) test on one group only
5. 5.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
6. 6.True or false: “check who is missing” adds to bias. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) test on one group only (d) add more of the same
8. 8.True or false: “add varied examples” adds to bias. (a) False (b) True
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) children speak too fast (d) few child voices in data
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
14. 14.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) check who is missing
15. 15.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) add more of the same (d) fix wrong labels
16. 16.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on one group only (d) balance the data
17. 17.True or false: “ignore complaints” adds to bias. (a) False (b) True
18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
20. 20.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
21. 21.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) add varied examples (d) skip testing
22. 22.Which of these adds to bias? (a) copy old unfair choices (b) fix wrong labels (c) balance the data (d) test on many groups
23. 23.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) check who is missing (d) test on one group only
24. 24.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
25. 25.Which of these adds to bias? (a) ask different people (b) skip testing (c) check who is missing (d) add varied examples
26. 26.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
27. 27.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
28. 28.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
30. 30.True or false: “ask different people” adds to bias. (a) True (b) False
31. 31.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) test on many groups (d) copy old unfair choices
34. 34.True or false: “balance the data” helps reduce bias. (a) False (b) True
35. 35.Which of these adds to bias? (a) balance the data (b) test on many groups (c) check who is missing (d) use one group only
36. 36.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
37. 37.True or false: “balance the data” adds to bias. (a) False (b) True
38. 38.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
40. 40.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data

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