AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 947 · 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) use one group only (b) fix wrong labels (c) ignore complaints (d) copy old unfair choices
2. 2.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
3. 3.True or false: “add varied examples” adds to bias. (a) True (b) False
4. 4.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
5. 5.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
7. 7.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) test on many groups (d) use one group only
8. 8.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
9. 9.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
11. 11.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) balance the data (d) ask different people
15. 15.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) balance the data (d) ignore complaints
17. 17.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
18. 18.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
19. 19.Which of these adds to bias? (a) skip testing (b) add varied examples (c) test on many groups (d) check who is missing
20. 20.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
22. 22.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
23. 23.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
24. 24.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
25. 25.True or false: “use one group only” helps reduce bias. (a) True (b) False
26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
27. 27.True or false: “add more of the same” adds to bias. (a) True (b) False
28. 28.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
29. 29.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) skip testing (d) balance the data
30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) test on one group only (d) skip testing
32. 32.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) add varied examples (d) test on one group only
33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) add more of the same (d) test on many groups
35. 35.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) copy old unfair choices
36. 36.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
37. 37.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
39. 39.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
40. 40.True or false: “check who is missing” adds to bias. (a) True (b) False

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