AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 307 · 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 adds to bias? (a) balance the data (b) ask different people (c) test on one group only (d) test on many groups
2. 2.True or false: “add more of the same” helps reduce bias. (a) True (b) False
3. 3.🗣️ 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
4. 4.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
5. 5.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
6. 6.True or false: “test on many groups” helps reduce bias. (a) True (b) False
7. 7.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
8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
9. 9.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
10. 10.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
11. 11.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
12. 12.Which of these adds to bias? (a) check who is missing (b) ask different people (c) copy old unfair choices (d) fix wrong labels
13. 13.Which of these helps reduce bias? (a) balance the data (b) use one group only (c) add more of the same (d) skip testing
14. 14.Which of these helps reduce bias? (a) ignore complaints (b) test on one group only (c) check who is missing (d) use one group only
15. 15.True or false: “add more of the same” adds to bias. (a) True (b) False
16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
17. 17.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
18. 18.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) a broken screen (d) bias from data
20. 20.True or false: “ask different people” adds to bias. (a) True (b) False
21. 21.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
22. 22.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) check who is missing
23. 23.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
24. 24.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
25. 25.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
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.True or false: “add varied examples” helps reduce bias. (a) False (b) True
28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) skip testing
30. 30.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) test on one group only (d) copy old unfair choices
31. 31.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) add varied examples (d) copy old unfair choices
34. 34.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) ask different people (d) use one group only
35. 35.🔍 Which is the odd one out? (a) add varied examples (b) add more of the same (c) ask different people (d) check who is missing
36. 36.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) balance the data (d) fix wrong labels
37. 37.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
38. 38.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
39. 39.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
40. 40.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) one group only (d) more varied data

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