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