AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 465 · 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.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) skip testing (d) add varied examples
2. 2.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
3. 3.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
7. 7.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
8. 8.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
10. 10.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
11. 11.True or false: “test on one group only” helps reduce bias. (a) True (b) False
12. 12.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
14. 14.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
15. 15.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
16. 16.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) test on many groups (d) add varied examples
17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
18. 18.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) ask different people (d) ignore complaints
19. 19.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
20. 20.True or false: “test on many groups” helps reduce bias. (a) False (b) True
21. 21.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
22. 22.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) test on one group only
24. 24.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) balance the data (d) add more of the same
25. 25.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
26. 26.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
28. 28.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on many groups (d) use one group only
30. 30.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) skip testing (d) add varied examples
32. 32.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) use one group only (d) balance the data
33. 33.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
34. 34.Which of these adds to bias? (a) ask different people (b) balance the data (c) skip testing (d) check who is missing
35. 35.🖼️ 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
36. 36.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
37. 37.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
38. 38.Which of these adds to bias? (a) ask different people (b) test on many groups (c) check who is missing (d) add more of the same
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias

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