AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 969 · 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.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) skip testing
2. 2.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
3. 3.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
4. 4.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
7. 7.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) balance the data (d) add varied examples
9. 9.True or false: “add varied examples” adds to bias. (a) True (b) False
10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
11. 11.True or false: “add more of the same” helps reduce bias. (a) False (b) True
12. 12.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
14. 14.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) test on one group only (d) fix wrong labels
15. 15.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
16. 16.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
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: “ignore complaints” helps reduce bias. (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) ask different people (b) use one group only (c) ignore complaints (d) test on one group only
20. 20.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) skip testing (d) ask different people
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
22. 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
24. 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.True or false: “test on one group only” helps reduce bias. (a) True (b) False
26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) ask different people (d) copy old unfair choices
28. 28.Which of these adds to bias? (a) check who is missing (b) test on many groups (c) ask different people (d) use one group only
29. 29.Which of these helps reduce bias? (a) ignore complaints (b) fix wrong labels (c) use one group only (d) copy old unfair choices
30. 30.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
32. 32.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
33. 33.True or false: “fix wrong labels” adds to bias. (a) True (b) False
34. 34.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) skip testing (d) copy old unfair choices
35. 35.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) ask different people (d) balance the data
36. 36.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) add more of the same (b) copy old unfair choices (c) use one group only (d) balance the data
38. 38.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
39. 39.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) balance the data (d) test on many groups
40. 40.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias

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