AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 882 · 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: “ignore complaints” adds to bias. (a) True (b) False
2. 2.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
4. 4.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
5. 5.True or false: “add varied examples” adds to bias. (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
7. 7.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) fix wrong labels (d) test on many groups
8. 8.🔍 Which is the odd one out? (a) add varied examples (b) ignore complaints (c) use one group only (d) copy old unfair choices
9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
10. 10.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) add more of the same
11. 11.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
12. 12.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
14. 14.True or false: “fix wrong labels” adds to bias. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) test on one group only (b) test on many groups (c) add varied examples (d) fix wrong labels
16. 16.True or false: “add more of the same” helps reduce bias. (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) add varied examples (d) use one group only
19. 19.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
20. 20.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
21. 21.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
26. 26.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
27. 27.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
28. 28.Which of these adds to bias? (a) test on many groups (b) balance the data (c) use one group only (d) check who is missing
29. 29.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on many groups (d) add more of the same
30. 30.True or false: “check who is missing” adds to bias. (a) True (b) False
31. 31.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.Which of these adds to bias? (a) add varied examples (b) copy old unfair choices (c) test on many groups (d) check who is missing
34. 34.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
35. 35.🗣️ 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) it was a rainy day (d) children speak too fast
36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) copy old unfair choices
37. 37.True or false: “balance the data” helps reduce bias. (a) False (b) True
38. 38.Which of these helps reduce bias? (a) test on one group only (b) add varied examples (c) ignore complaints (d) copy old unfair choices
39. 39.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) ignore complaints (d) ask different people
40. 40.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) add varied examples (d) test on many groups

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