AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 770 · 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: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
4. 4.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
5. 5.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) balance the data (d) ignore complaints
6. 6.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) ignore complaints
7. 7.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
8. 8.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ask different people (d) add more of the same
9. 9.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
10. 10.🔍 Which is the odd one out? (a) check who is missing (b) skip testing (c) copy old unfair choices (d) use one group only
11. 11.Which of these adds to bias? (a) test on many groups (b) ask different people (c) skip testing (d) add varied examples
12. 12.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
14. 14.True or false: “test on one group only” helps reduce bias. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) test on one group only
16. 16.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) fix wrong labels
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
18. 18.True or false: “add more of the same” adds to bias. (a) True (b) False
19. 19.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) ignore complaints (d) fix wrong labels
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
23. 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
24. 24.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
25. 25.🗣️ 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) few child voices in data (d) children speak too fast
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
29. 29.Which of these helps reduce bias? (a) test on many groups (b) test on one group only (c) skip testing (d) ignore complaints
30. 30.True or false: “check who is missing” helps reduce bias. (a) False (b) True
31. 31.True or false: “ask different people” adds to bias. (a) False (b) True
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
33. 33.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
34. 34.True or false: “test on one group only” adds to bias. (a) True (b) False
35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) more varied data (d) one group only
36. 36.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) test on many groups
37. 37.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.True or false: “ask different people” helps reduce bias. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) balance the data (d) check who is missing
40. 40.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False

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