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