AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 429 · 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 of these helps reduce bias? (a) add varied examples (b) skip testing (c) copy old unfair choices (d) use one group only
2. 2.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
3. 3.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its colour (d) its screen size
5. 5.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
6. 6.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
7. 7.True or false: “add varied examples” adds to bias. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add more of the same (d) check who is missing
9. 9.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
10. 10.True or false: “test on many groups” helps reduce bias. (a) True (b) False
11. 11.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) add more of the same
12. 12.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
13. 13.True or false: “ask different people” helps reduce bias. (a) False (b) True
14. 14.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
16. 16.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) test on one group only (d) balance the data
17. 17.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
19. 19.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
20. 20.True or false: “skip testing” helps reduce bias. (a) True (b) False
21. 21.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) test on one group only (d) check who is missing
22. 22.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
23. 23.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
26. 26.Which of these adds to bias? (a) fix wrong labels (b) balance the data (c) check who is missing (d) copy old unfair choices
27. 27.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) test on many groups (b) check who is missing (c) ask different people (d) ignore complaints
29. 29.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
30. 30.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) skip testing (d) add more of the same
32. 32.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) test on many groups (d) check who is missing
33. 33.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) test on one group only (d) fix wrong labels
34. 34.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
36. 36.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
38. 38.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) use one group only (d) ignore complaints

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