AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 803 · 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: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ignore complaints (d) add more of the same
3. 3.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
4. 4.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) children speak too fast (d) it was a rainy day
6. 6.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) check who is missing (d) add varied examples
7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
10. 10.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
12. 12.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
13. 13.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
14. 14.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
15. 15.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
16. 16.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
19. 19.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
20. 20.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
21. 21.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) copy old unfair choices (d) ask different people
22. 22.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) test on many groups
23. 23.True or false: “test on many groups” helps reduce bias. (a) False (b) True
24. 24.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) check who is missing (d) test on one group only
26. 26.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
27. 27.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
28. 28.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
29. 29.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
30. 30.True or false: “balance the data” helps reduce bias. (a) True (b) False
31. 31.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) balance the data (d) skip testing
32. 32.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) skip testing (d) balance the data
33. 33.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
34. 34.True or false: “ask different people” adds to bias. (a) True (b) False
35. 35.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
36. 36.True or false: “use one group only” helps reduce bias. (a) False (b) True
37. 37.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
38. 38.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
39. 39.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) ignore complaints (d) fix wrong labels
40. 40.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

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