AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 571 · 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) ask different people (b) check who is missing (c) test on many groups (d) ignore complaints
2. 2.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) test on many groups (d) ignore complaints
3. 3.True or false: “skip testing” helps reduce bias. (a) True (b) False
4. 4.True or false: “balance the data” helps reduce bias. (a) False (b) True
5. 5.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
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 fair model (d) a strong battery
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) check who is missing (d) use one group only
9. 9.🔍 Which is the odd one out? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) ask different people
10. 10.True or false: “test on one group only” adds to bias. (a) True (b) False
11. 11.True or false: “test on one group only” helps reduce bias. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) balance the data (b) fix wrong labels (c) add varied examples (d) test on one group only
13. 13.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
14. 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
15. 15.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
16. 16.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) fix wrong labels (d) copy old unfair choices
17. 17.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
18. 18.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
19. 19.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
20. 20.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
21. 21.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) check who is missing (d) ask different people
22. 22.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
23. 23.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
25. 25.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
26. 26.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
27. 27.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
28. 28.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.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
30. 30.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) skip testing
31. 31.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) test on one group only
32. 32.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) ignore complaints (d) skip testing
33. 33.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
34. 34.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
35. 35.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
36. 36.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on many groups (d) use one group only
37. 37.🗣️ 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
38. 38.Which of these helps reduce bias? (a) copy old unfair choices (b) check who is missing (c) test on one group only (d) add more of the same
39. 39.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False

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