AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 93 · 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 one group only? (a) reduces bias (b) adds to bias
2. 2.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) add more of the same (d) copy old unfair choices
3. 3.🔍 Which is the odd one out? (a) copy old unfair choices (b) add varied examples (c) add more of the same (d) use one group only
4. 4.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
6. 6.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) fix wrong labels (d) use one group only
7. 7.Which of these adds to bias? (a) balance the data (b) ask different people (c) test on many groups (d) add more of the same
8. 8.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) balance the data (d) copy old unfair choices
9. 9.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) skip testing (d) use one group only
10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
11. 11.True or false: “add varied examples” adds to bias. (a) False (b) True
12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
13. 13.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
16. 16.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
19. 19.True or false: “balance the data” adds to bias. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) test on many groups (d) fix wrong labels
21. 21.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
22. 22.🗣️ 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) the phone was new (d) children speak too fast
23. 23.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) test on one group only (d) ask different people
24. 24.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
26. 26.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
27. 27.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
28. 28.True or false: “check who is missing” helps reduce bias. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) fix wrong labels
30. 30.Which of these helps reduce bias? (a) ignore complaints (b) test on many groups (c) test on one group only (d) skip testing
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) test on many groups (d) ignore complaints
33. 33.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ignore complaints (d) test on one group only
34. 34.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
35. 35.True or false: “ask different people” adds to bias. (a) False (b) True
36. 36.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
38. 38.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
39. 39.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) test on one group only (d) add varied examples
40. 40.True or false: “copy old unfair choices” adds to bias. (a) True (b) False

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