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