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