AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 566 · 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: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
2. 2.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
3. 3.🔍 Which is the odd one out? (a) test on one group only (b) skip testing (c) fix wrong labels (d) ignore complaints
4. 4.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
5. 5.Which of these adds to bias? (a) copy old unfair choices (b) ask different people (c) test on many groups (d) balance the data
6. 6.True or false: “skip testing” adds to bias. (a) False (b) True
7. 7.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
8. 8.🗣️ 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
9. 9.True or false: “fix wrong labels” adds to bias. (a) True (b) False
10. 10.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
11. 11.True or false: “ask different people” adds to bias. (a) False (b) True
12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
13. 13.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
14. 14.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) test on many groups (b) use one group only (c) ask different people (d) balance the data
16. 16.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.Which of these adds to bias? (a) balance the data (b) check who is missing (c) ignore complaints (d) ask different people
18. 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
19. 19.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) skip testing
20. 20.Which of these helps reduce bias? (a) add varied examples (b) use one group only (c) test on one group only (d) add more of the same
21. 21.True or false: “skip testing” helps reduce bias. (a) False (b) True
22. 22.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
23. 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
25. 25.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
26. 26.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
27. 27.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
28. 28.Which of these helps reduce bias? (a) copy old unfair choices (b) fix wrong labels (c) skip testing (d) add more of the same
29. 29.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
30. 30.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) balance the data (d) skip testing
31. 31.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) ignore complaints (d) copy old unfair choices
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
34. 34.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
36. 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
37. 37.True or false: “add more of the same” helps reduce bias. (a) True (b) False
38. 38.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) ask different people (d) fix wrong labels
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people

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