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