AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 452 · 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) fix wrong labels (b) add more of the same (c) skip testing (d) ignore complaints
2. 2.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
4. 4.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on one group only (d) check who is missing
5. 5.True or false: “ask different people” helps reduce bias. (a) False (b) True
6. 6.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
7. 7.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a strong battery (d) a fair model
8. 8.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
10. 10.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) balance the data (d) skip testing
11. 11.Which of these adds to bias? (a) copy old unfair choices (b) add varied examples (c) check who is missing (d) ask different people
12. 12.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
13. 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
15. 15.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
16. 16.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
17. 17.True or false: “ignore complaints” adds to bias. (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
19. 19.🔍 Which is the odd one out? (a) balance the data (b) test on one group only (c) test on many groups (d) add varied examples
20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
21. 21.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
22. 22.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
23. 23.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
24. 24.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) balance the data (d) add more of the same
25. 25.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) copy old unfair choices (d) ignore complaints
26. 26.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.Which of these adds to bias? (a) balance the data (b) ask different people (c) skip testing (d) test on many groups
28. 28.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
29. 29.True or false: “balance the data” adds to bias. (a) True (b) False
30. 30.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) ignore complaints (d) test on one group only
31. 31.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
32. 32.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
33. 33.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
34. 34.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
35. 35.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) ignore complaints (d) check who is missing
36. 36.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) ignore complaints (d) add varied examples
37. 37.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
38. 38.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) ask different people (d) test on one group only
40. 40.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

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