AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 420 · 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.True or false: “test on many groups” adds to bias. (a) True (b) False
2. 2.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
3. 3.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a strong battery (d) a broken screen
4. 4.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
5. 5.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
6. 6.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) use one group only (d) add varied examples
7. 7.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) ask different people (d) ignore complaints
8. 8.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
9. 9.True or false: “ignore complaints” adds to bias. (a) False (b) True
10. 10.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) fix wrong labels (d) test on many groups
11. 11.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
12. 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
13. 13.Which of these helps reduce bias? (a) test on one group only (b) fix wrong labels (c) ignore complaints (d) use one group only
14. 14.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
15. 15.True or false: “use one group only” helps reduce bias. (a) True (b) False
16. 16.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
17. 17.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
18. 18.True or false: “ask different people” adds to bias. (a) False (b) True
19. 19.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) use one group only (d) add varied examples
20. 20.Which of these adds to bias? (a) test on many groups (b) check who is missing (c) ignore complaints (d) fix wrong labels
21. 21.Which of these adds to bias? (a) balance the data (b) test on one group only (c) add varied examples (d) check who is missing
22. 22.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) fix wrong labels (d) add varied examples
23. 23.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
24. 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
25. 25.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) skip testing
27. 27.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
28. 28.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
29. 29.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
30. 30.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
31. 31.True or false: “use one group only” adds to bias. (a) True (b) False
32. 32.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
35. 35.True or false: “balance the data” helps reduce bias. (a) True (b) False
36. 36.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) skip testing (d) test on one group only
37. 37.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
38. 38.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) ignore complaints (d) test on one group only
39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
40. 40.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True

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