AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 630 · 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: “use one group only” adds to bias. (a) True (b) False
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) few child voices in data (d) the phone was new
3. 3.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) ignore complaints (d) add more of the same
4. 4.Which of these adds to bias? (a) ask different people (b) add varied examples (c) test on many groups (d) copy old unfair choices
5. 5.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
6. 6.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
7. 7.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) add varied examples (d) use one group only
8. 8.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
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) add varied examples
10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
12. 12.True or false: “check who is missing” adds to bias. (a) False (b) True
13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
14. 14.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
15. 15.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
16. 16.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
17. 17.Which of these helps reduce bias? (a) check who is missing (b) test on one group only (c) use one group only (d) ignore complaints
18. 18.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) check who is missing (d) test on many groups
19. 19.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) skip testing (d) ignore complaints
20. 20.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
21. 21.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) add varied examples (d) balance the data
22. 22.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
23. 23.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) add varied examples (d) test on one group only
24. 24.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
26. 26.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
27. 27.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
29. 29.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
30. 30.True or false: “add varied examples” helps reduce bias. (a) False (b) True
31. 31.True or false: “add varied examples” adds to bias. (a) True (b) False
32. 32.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on one group only (d) test on many groups
33. 33.🔍 Which is the odd one out? (a) copy old unfair choices (b) skip testing (c) add more of the same (d) balance the data
34. 34.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
35. 35.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) ignore complaints (d) copy old unfair choices
36. 36.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
37. 37.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) use one group only (d) ask different people
39. 39.Which of these adds to bias? (a) test on many groups (b) ask different people (c) add varied examples (d) ignore complaints
40. 40.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data

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