AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 517 · 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: stories where every doctor is a man? (a) balanced data (b) one-sided data
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
3. 3.True or false: “test on one group only” adds to bias. (a) False (b) True
4. 4.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) test on many groups
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
6. 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
7. 7.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
8. 8.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) bias from data (d) a fair model
9. 9.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
10. 10.True or false: “ignore complaints” adds to bias. (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
12. 12.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) it was a rainy day (d) few child voices in data
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
15. 15.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) add more of the same (d) test on many groups
16. 16.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
17. 17.Which of these adds to bias? (a) ask different people (b) check who is missing (c) add varied examples (d) use one group only
18. 18.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
19. 19.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
20. 20.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
21. 21.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
22. 22.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) check who is missing (d) copy old unfair choices
23. 23.Which of these helps reduce bias? (a) use one group only (b) balance the data (c) add more of the same (d) copy old unfair choices
24. 24.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) add more of the same
25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
26. 26.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) test on one group only (d) balance the data
28. 28.🔍 Which is the odd one out? (a) ignore complaints (b) skip testing (c) fix wrong labels (d) copy old unfair choices
29. 29.True or false: “fix wrong labels” adds to bias. (a) True (b) False
30. 30.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
31. 31.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
32. 32.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
33. 33.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) balance the data (d) skip testing
34. 34.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
35. 35.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
36. 36.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) use one group only (d) fix wrong labels
37. 37.True or false: “use one group only” helps reduce bias. (a) True (b) False
38. 38.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
40. 40.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True

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