AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 881 · 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.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
2. 2.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
5. 5.🔍 Which is the odd one out? (a) check who is missing (b) test on one group only (c) balance the data (d) add varied examples
6. 6.🔍 Which is the odd one out? (a) test on one group only (b) copy old unfair choices (c) ignore complaints (d) add varied examples
7. 7.True or false: “fix wrong labels” adds to bias. (a) True (b) False
8. 8.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
9. 9.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
10. 10.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
11. 11.True or false: “skip testing” helps reduce bias. (a) True (b) False
12. 12.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
14. 14.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
15. 15.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
16. 16.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) test on one group only
17. 17.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
18. 18.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
19. 19.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
21. 21.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
22. 22.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
23. 23.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) add more of the same (d) ask different people
24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
25. 25.🗣️ 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
26. 26.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) add varied examples
27. 27.True or false: “test on one group only” helps reduce bias. (a) False (b) True
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) test on one group only (d) use one group only
30. 30.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) add varied examples
31. 31.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) balance the data (d) test on one group only
32. 32.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ask different people (d) use one group only
33. 33.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
34. 34.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
36. 36.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
37. 37.Which of these helps reduce bias? (a) ignore complaints (b) use one group only (c) test on many groups (d) copy old unfair choices
38. 38.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
39. 39.Which of these helps reduce bias? (a) skip testing (b) check who is missing (c) add more of the same (d) ignore complaints
40. 40.True or false: “copy old unfair choices” adds to bias. (a) False (b) True

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