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.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
- 2.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
- 3.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
- 4.🔍 Which is the odd one out? (a) skip testing (b) use one group only (c) copy old unfair choices (d) balance the data
- 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
- 6.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 7.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) ignore complaints (d) fix wrong labels
- 8.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 9.Which of these adds to bias? (a) balance the data (b) check who is missing (c) copy old unfair choices (d) ask different people
- 10.True or false: “add varied examples” helps reduce bias. (a) True (b) False
- 11.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) ignore complaints (d) add varied examples
- 12.🔍 Which is the odd one out? (a) check who is missing (b) fix wrong labels (c) use one group only (d) add varied examples
- 13.Which of these adds to bias? (a) add varied examples (b) ask different people (c) fix wrong labels (d) add more of the same
- 14.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 15.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
- 16.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 17.Which of these adds to bias? (a) skip testing (b) add varied examples (c) check who is missing (d) fix wrong labels
- 18.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 19.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
- 20.True or false: “skip testing” helps reduce bias. (a) False (b) True
- 21.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
- 22.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
- 23.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
- 24.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
- 25.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) add more of the same (d) copy old unfair choices
- 26.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
- 27.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 28.🔍 Which is the odd one out? (a) balance the data (b) add varied examples (c) test on many groups (d) skip testing
- 29.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
- 30.🔍 Which is the odd one out? (a) ask different people (b) ignore complaints (c) balance the data (d) check who is missing
- 31.🗣️ 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
- 32.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) add more of the same (d) test on many groups
- 33.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
- 34.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
- 35.🖼️ 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
- 36.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
- 37.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
- 38.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
- 39.True or false: “add more of the same” helps reduce bias. (a) False (b) True
- 40.True or false: “ask different people” helps reduce bias. (a) False (b) True
Answer key
- one-sided data
- False
- one-sided data
- balance the data
- True
- reduces bias
- fix wrong labels
- one-sided data
- copy old unfair choices
- True
- add varied examples
- use one group only
- add more of the same
- balanced data
- more varied data
- False
- skip testing
- balanced data
- reduces bias
- False
- balanced data
- False
- reduces bias
- one-sided data
- check who is missing
- False
- reduces bias
- skip testing
- adds to bias
- ignore complaints
- few child voices in data
- add more of the same
- False
- adds to bias
- bias from data
- adds to bias
- one-sided data
- False
- False
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students