AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 549 · 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: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
2. 2.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
3. 3.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
5. 5.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
7. 7.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
8. 8.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) check who is missing (d) test on many groups
10. 10.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
11. 11.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) copy old unfair choices (d) test on one group only
12. 12.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
14. 14.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) use one group only (d) test on one group only
15. 15.True or false: “test on many groups” adds to bias. (a) True (b) False
16. 16.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
17. 17.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
18. 18.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) use one group only (d) test on many groups
19. 19.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) copy old unfair choices (b) fix wrong labels (c) balance the data (d) add varied examples
21. 21.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
22. 22.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
23. 23.True or false: “fix wrong labels” adds to bias. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) test on one group only (d) ask different people
25. 25.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
26. 26.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) fix wrong labels (d) check who is missing
27. 27.True or false: “use one group only” helps reduce bias. (a) True (b) False
28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
29. 29.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
31. 31.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) add more of the same (d) use one group only
32. 32.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: “use one group only” adds to bias. (a) False (b) True
35. 35.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
36. 36.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
37. 37.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) add varied examples (d) ignore complaints
38. 38.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
39. 39.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
40. 40.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True

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