AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 755 · 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) fix wrong labels (b) ask different people (c) test on one group only (d) balance the data
2. 2.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
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 broken screen (d) a strong battery
4. 4.True or false: “use one group only” adds to bias. (a) True (b) False
5. 5.Which of these helps reduce bias? (a) fix wrong labels (b) skip testing (c) add more of the same (d) ignore complaints
6. 6.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) add varied examples (d) use one group only
7. 7.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
8. 8.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
9. 9.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
10. 10.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
11. 11.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
12. 12.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
13. 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) few child voices in data (d) children speak too fast
14. 14.True or false: “skip testing” helps reduce bias. (a) False (b) True
15. 15.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
16. 16.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
17. 17.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
19. 19.Which of these helps reduce bias? (a) use one group only (b) ignore complaints (c) ask different people (d) test on one group only
20. 20.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
21. 21.True or false: “check who is missing” adds to bias. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
24. 24.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
25. 25.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
26. 26.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) balance the data (d) skip testing
28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
30. 30.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) test on one group only
31. 31.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
32. 32.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) add varied examples (d) copy old unfair choices
33. 33.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
34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
35. 35.🔍 Which is the odd one out? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) use one group only
36. 36.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) add more of the same
37. 37.True or false: “skip testing” adds to bias. (a) True (b) False
38. 38.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) balance the data (d) ignore complaints
39. 39.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) add more of the same (d) use one group only

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