AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 171 · 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.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) balance the data (d) copy old unfair choices
3. 3.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
4. 4.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) skip testing (d) add varied examples
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
6. 6.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
7. 7.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
8. 8.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
9. 9.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) check who is missing (d) add more of the same
10. 10.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) add more of the same
12. 12.True or false: “add varied examples” helps reduce bias. (a) True (b) False
13. 13.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
14. 14.Which of these helps reduce bias? (a) test on many groups (b) use one group only (c) test on one group only (d) copy old unfair choices
15. 15.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
17. 17.Which of these adds to bias? (a) add varied examples (b) ask different people (c) skip testing (d) check who is missing
18. 18.True or false: “add varied examples” adds to bias. (a) True (b) False
19. 19.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
20. 20.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) balance the data (d) use one group only
21. 21.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) add more of the same (d) fix wrong labels
22. 22.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
23. 23.True or false: “test on one group only” adds to bias. (a) False (b) True
24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
25. 25.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) use one group only (d) fix wrong labels
26. 26.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) copy old unfair choices (d) ignore complaints
27. 27.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
28. 28.Which of these adds to bias? (a) balance the data (b) add varied examples (c) test on many groups (d) use one group only
29. 29.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) test on one group only (b) ask different people (c) skip testing (d) use one group only
32. 32.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) fix wrong labels (d) ignore complaints
33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
34. 34.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
35. 35.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) skip testing (b) ask different people (c) test on many groups (d) fix wrong labels
38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
39. 39.True or false: “ask different people” helps reduce bias. (a) True (b) False
40. 40.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) skip testing (d) ignore complaints

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