AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 447 · 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: mangoes both raw and ripe? (a) one-sided data (b) balanced data
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) a broken screen (d) bias from data
3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
4. 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
5. 5.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.True or false: “add varied examples” helps reduce bias. (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) check who is missing (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) use one group only (d) add more of the same
11. 11.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) add more of the same
12. 12.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
13. 13.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) test on many groups (d) ignore complaints
14. 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) balance the data (c) add varied examples (d) test on one group only
16. 16.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
17. 17.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
18. 18.True or false: “balance the data” helps reduce bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) add more of the same (b) add varied examples (c) ignore complaints (d) use one group only
20. 20.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) test on one group only
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
23. 23.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
25. 25.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
26. 26.True or false: “check who is missing” adds to bias. (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
28. 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
29. 29.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
30. 30.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.True or false: “skip testing” adds to bias. (a) False (b) True
32. 32.Which of these adds to bias? (a) add varied examples (b) test on one group only (c) test on many groups (d) ask different people
33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
34. 34.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) add more of the same (d) fix wrong labels
35. 35.🛠️ What helps make an AI system fairer? (a) more varied data (b) one group only (c) fewer tests (d) ignoring mistakes
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
37. 37.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) skip testing
39. 39.True or false: “fix wrong labels” adds to bias. (a) False (b) True
40. 40.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) balance the data (d) skip testing

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