AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 166 · 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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
2. 2.True or false: “add varied examples” helps reduce bias. (a) False (b) True
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
5. 5.True or false: “test on many groups” helps reduce bias. (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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) copy old unfair choices (d) test on many groups
9. 9.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
10. 10.True or false: “ignore complaints” adds to bias. (a) False (b) True
11. 11.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) ignore complaints (d) check who is missing
12. 12.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
14. 14.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
15. 15.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
16. 16.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
17. 17.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
18. 18.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
19. 19.Which of these adds to bias? (a) copy old unfair choices (b) balance the data (c) check who is missing (d) ask different people
20. 20.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
21. 21.Which of these helps reduce bias? (a) add varied examples (b) copy old unfair choices (c) skip testing (d) ignore complaints
22. 22.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
24. 24.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.Which of these helps reduce bias? (a) ask different people (b) test on one group only (c) skip testing (d) use one group only
28. 28.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) test on many groups (d) add more of the same
29. 29.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
30. 30.Which of these adds to bias? (a) ignore complaints (b) check who is missing (c) test on many groups (d) ask different people
31. 31.Which of these adds to bias? (a) use one group only (b) test on many groups (c) add varied examples (d) balance the data
32. 32.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) skip testing
33. 33.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
38. 38.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
39. 39.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) test on one group only (d) ignore complaints
40. 40.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) ignore complaints (d) test on one group only

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