AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 227 · 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: mangoes both raw and ripe? (a) one-sided data (b) balanced data
2. 2.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
5. 5.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
6. 6.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
7. 7.True or false: “add more of the same” helps reduce bias. (a) True (b) False
8. 8.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
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
10. 10.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.Which of these helps reduce bias? (a) use one group only (b) skip testing (c) ask different people (d) ignore complaints
12. 12.Which of these helps reduce bias? (a) test on many groups (b) skip testing (c) test on one group only (d) ignore complaints
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
15. 15.True or false: “test on many groups” helps reduce bias. (a) True (b) False
16. 16.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
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data
19. 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
20. 20.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
21. 21.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
22. 22.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
24. 24.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) balance the data (d) copy old unfair choices
25. 25.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) ask different people (d) use one group only
26. 26.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
27. 27.True or false: “balance the data” helps reduce bias. (a) False (b) True
28. 28.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
30. 30.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
31. 31.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) add more of the same (d) test on one group only
33. 33.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
34. 34.True or false: “test on one group only” adds to bias. (a) False (b) True
35. 35.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ask different people (d) ignore complaints
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.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
39. 39.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) copy old unfair choices (d) test on many groups
40. 40.🔍 Which is the odd one out? (a) test on one group only (b) fix wrong labels (c) copy old unfair choices (d) ignore complaints

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