AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 62 · 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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) check who is missing (d) add varied examples
3. 3.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) skip testing (d) use one group only
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
5. 5.True or false: “test on one group only” helps reduce bias. (a) False (b) True
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
8. 8.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) balance the data (d) skip testing
9. 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
10. 10.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ask different people (d) use one group only
11. 11.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
12. 12.True or false: “add more of the same” adds to bias. (a) False (b) True
13. 13.Which of these adds to bias? (a) check who is missing (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
14. 14.🔍 Which is the odd one out? (a) copy old unfair choices (b) ask different people (c) skip testing (d) use one group only
15. 15.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) skip testing (d) test on many groups
16. 16.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on one group only (d) add varied examples
17. 17.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) ask different people (d) test on one group only
20. 20.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) ask different people (d) balance the data
21. 21.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) check who is missing (d) test on one group only
22. 22.True or false: “test on many groups” adds to bias. (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
25. 25.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its screen size (d) its training data
26. 26.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
27. 27.Which of these helps reduce bias? (a) fix wrong labels (b) use one group only (c) skip testing (d) add more of the same
28. 28.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
29. 29.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) add more of the same (d) ask different people
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) check who is missing (d) copy old unfair choices
33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
34. 34.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
35. 35.True or false: “ignore complaints” adds to bias. (a) False (b) True
36. 36.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
37. 37.Which of these helps reduce bias? (a) check who is missing (b) add more of the same (c) skip testing (d) copy old unfair choices
38. 38.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) fix wrong labels
39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
40. 40.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias

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