AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 357 · 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.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
2. 2.True or false: “add varied examples” helps reduce bias. (a) False (b) True
3. 3.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on many groups (d) use one group only
4. 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
5. 5.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
7. 7.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
8. 8.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
9. 9.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) skip testing (d) ask different people
10. 10.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
11. 11.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
13. 13.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) use one group only (d) ask different people
14. 14.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) add varied examples (d) ignore complaints
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
17. 17.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) add more of the same (d) copy old unfair choices
18. 18.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) test on many groups
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
20. 20.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) copy old unfair choices (d) add varied examples
21. 21.Which of these helps reduce bias? (a) fix wrong labels (b) add more of the same (c) copy old unfair choices (d) test on one group only
22. 22.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
25. 25.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
26. 26.🔍 Which is the odd one out? (a) skip testing (b) check who is missing (c) test on one group only (d) copy old unfair choices
27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
28. 28.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
29. 29.True or false: “test on many groups” adds to bias. (a) True (b) False
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
32. 32.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
33. 33.True or false: “test on one group only” helps reduce bias. (a) True (b) False
34. 34.True or false: “test on many groups” helps reduce bias. (a) True (b) False
35. 35.True or false: “check who is missing” adds to bias. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) test on many groups (d) test on one group only
37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
38. 38.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
39. 39.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) check who is missing (d) skip testing
40. 40.True or false: “add more of the same” adds to bias. (a) False (b) True

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students