AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 469 · 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: test on many groups? (a) reduces bias (b) adds to bias
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
6. 6.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) ask different people (d) check who is missing
9. 9.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
10. 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
11. 11.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) ignore complaints
12. 12.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) skip testing (d) use one group only
13. 13.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) add varied examples (d) test on one group only
14. 14.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
15. 15.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ask different people (d) ignore complaints
16. 16.🔍 Which is the odd one out? (a) ask different people (b) check who is missing (c) test on one group only (d) fix wrong labels
17. 17.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
20. 20.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
21. 21.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
22. 22.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
23. 23.🖼️ 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
24. 24.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
25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on many groups (c) check who is missing (d) ask different people
26. 26.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
27. 27.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) add more of the same
28. 28.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) test on many groups (d) check who is missing
29. 29.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
31. 31.Which of these adds to bias? (a) skip testing (b) add varied examples (c) check who is missing (d) ask different people
32. 32.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on many groups (d) add more of the same
33. 33.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) test on many groups (d) add varied examples
35. 35.True or false: “add varied examples” helps reduce bias. (a) False (b) True
36. 36.Which of these adds to bias? (a) balance the data (b) test on many groups (c) ignore complaints (d) add varied examples
37. 37.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
38. 38.True or false: “test on many groups” adds to bias. (a) False (b) True
39. 39.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True

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