AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 651 · 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.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
2. 2.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) add more of the same (d) ask different people
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
4. 4.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
6. 6.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: “check who is missing” adds to bias. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
9. 9.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
11. 11.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
12. 12.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
13. 13.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) test on many groups (d) skip testing
14. 14.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) skip testing (d) use one group only
15. 15.Which of these adds to bias? (a) test on many groups (b) skip testing (c) check who is missing (d) ask different people
16. 16.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) add varied examples (d) ignore complaints
17. 17.True or false: “add more of the same” adds to bias. (a) False (b) True
18. 18.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) test on many groups
19. 19.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
20. 20.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
21. 21.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
22. 22.Which of these adds to bias? (a) test on one group only (b) balance the data (c) add varied examples (d) ask different people
23. 23.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
24. 24.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) ask different people (d) ignore complaints
25. 25.Which of these helps reduce bias? (a) use one group only (b) add more of the same (c) copy old unfair choices (d) fix wrong labels
26. 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
27. 27.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
28. 28.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) skip testing (d) test on one group only
29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
30. 30.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) add more of the same (d) use one group only
31. 31.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) fix wrong labels (d) balance the data
33. 33.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on one group only (d) add varied examples
36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
37. 37.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) add more of the same
40. 40.True or false: “balance the data” adds to bias. (a) True (b) False

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