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