AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 706 · 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: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
2. 2.Which of these adds to bias? (a) balance the data (b) add varied examples (c) ignore complaints (d) test on many groups
3. 3.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
5. 5.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
6. 6.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
7. 7.True or false: “ignore complaints” adds to bias. (a) False (b) True
8. 8.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) test on one group only (d) add varied examples
9. 9.True or false: “test on one group only” adds to bias. (a) False (b) True
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
11. 11.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) use one group only (d) check who is missing
12. 12.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) copy old unfair choices
13. 13.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
14. 14.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
16. 16.True or false: “test on many groups” helps reduce bias. (a) False (b) True
17. 17.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
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
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) few child voices in data (d) it was a rainy day
20. 20.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
21. 21.Which of these adds to bias? (a) check who is missing (b) balance the data (c) fix wrong labels (d) test on one group only
22. 22.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
23. 23.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
24. 24.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) add more of the same (d) skip testing
25. 25.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
26. 26.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
27. 27.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
28. 28.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) skip testing (d) ask different people
29. 29.True or false: “test on one group only” helps reduce bias. (a) False (b) True
30. 30.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
31. 31.True or false: “ask different people” adds to bias. (a) False (b) True
32. 32.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add more of the same (d) ask different people
33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
34. 34.🔍 Which is the odd one out? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) add varied examples
35. 35.🔍 Which is the odd one out? (a) test on many groups (b) balance the data (c) ask different people (d) test on one group only
36. 36.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
38. 38.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) balance the data (d) use one group only
39. 39.Which of these adds to bias? (a) ask different people (b) test on many groups (c) fix wrong labels (d) add more of the same
40. 40.True or false: “copy old unfair choices” adds to bias. (a) False (b) True

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