AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 331 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
2. 2.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
3. 3.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
5. 5.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) balance the data
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) fix wrong labels (d) ask different people
7. 7.Which of these adds to bias? (a) ask different people (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
8. 8.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
9. 9.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
10. 10.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
11. 11.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) copy old unfair choices (d) add more of the same
12. 12.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
13. 13.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) fix wrong labels
14. 14.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
16. 16.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.Which of these adds to bias? (a) use one group only (b) test on many groups (c) ask different people (d) add varied examples
18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
19. 19.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) test on many groups (d) test on one group only
20. 20.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
22. 22.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) ignore complaints (d) use one group only
23. 23.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) use one group only
24. 24.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
25. 25.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) add varied examples (d) add more of the same
26. 26.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) use one group only (d) ask different people
27. 27.Which of these helps reduce bias? (a) copy old unfair choices (b) add varied examples (c) ignore complaints (d) use one group only
28. 28.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
29. 29.Which of these helps reduce bias? (a) test on one group only (b) balance the data (c) use one group only (d) skip testing
30. 30.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
31. 31.Which of these adds to bias? (a) check who is missing (b) ignore complaints (c) fix wrong labels (d) add varied examples
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
33. 33.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) ask different people (d) ignore complaints
34. 34.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) check who is missing (d) balance the data
35. 35.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
36. 36.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
37. 37.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
38. 38.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) use one group only (d) add more of the same
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
40. 40.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) add more of the same (d) test on many groups

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