AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 591 · 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.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) ignore complaints (d) ask different people
2. 2.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) add more of the same (d) use one group only
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
5. 5.🗣️ 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
6. 6.True or false: “test on many groups” adds to bias. (a) False (b) True
7. 7.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
8. 8.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
9. 9.🔍 Which is the odd one out? (a) ignore complaints (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) balance the data (d) ignore complaints
12. 12.🛠️ What helps make an AI system fairer? (a) more varied data (b) fewer tests (c) ignoring mistakes (d) one group only
13. 13.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
14. 14.🔍 Which is the odd one out? (a) add varied examples (b) skip testing (c) test on one group only (d) use one group only
15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
16. 16.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
19. 19.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) test on one group only (d) copy old unfair choices
20. 20.True or false: “balance the data” adds to bias. (a) False (b) True
21. 21.True or false: “ask different people” adds to bias. (a) True (b) False
22. 22.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
24. 24.True or false: “check who is missing” helps reduce bias. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) ask different people
26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
27. 27.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) skip testing
28. 28.True or false: “test on one group only” adds to bias. (a) False (b) True
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: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) check who is missing (d) add varied examples
32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
33. 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) check who is missing (b) ignore complaints (c) skip testing (d) add more of the same
35. 35.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
37. 37.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) check who is missing
39. 39.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True

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