AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 799 · 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) check who is missing (b) add more of the same (c) ignore complaints (d) test on one group only
2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
3. 3.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
4. 4.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
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.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a broken screen (d) a strong battery
7. 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
8. 8.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) skip testing (d) fix wrong labels
9. 9.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) ignoring mistakes (d) fewer tests
10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
11. 11.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) check who is missing (d) test on many groups
12. 12.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) add more of the same
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
14. 14.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
16. 16.True or false: “ask different people” adds to bias. (a) True (b) False
17. 17.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
20. 20.🔍 Which is the odd one out? (a) skip testing (b) ignore complaints (c) balance the data (d) test on one group only
21. 21.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) test on one group only (d) ask different people
22. 22.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
23. 23.Which of these adds to bias? (a) ask different people (b) add varied examples (c) use one group only (d) balance the data
24. 24.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
25. 25.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
26. 26.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) add more of the same (d) test on many groups
27. 27.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
28. 28.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) ignore complaints (d) add more of the same
29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
30. 30.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
31. 31.True or false: “test on one group only” helps reduce bias. (a) False (b) True
32. 32.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) use one group only (d) copy old unfair choices
33. 33.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) copy old unfair choices (d) test on many groups
35. 35.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
37. 37.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
38. 38.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) skip testing (d) test on many groups
39. 39.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
40. 40.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True

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