AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 2.🔍 Which is the odd one out? (a) copies of one photo (b) checking labels twice (c) very few examples (d) wrong labels
- 3.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 4.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI can make up facts (d) AI is never wrong
- 5.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) ask different people (d) copy old unfair choices
- 6.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
- 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it will shut down (d) it may get it wrong
- 8.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
- 9.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
- 10.True or false: “past weather records” is training data. (a) False (b) True
- 11.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
- 12.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
- 13.True or false: “test on many groups” helps reduce bias. (a) False (b) True
- 14.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI can be wrong (d) confident means correct
- 15.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
- 16.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) test on many groups (d) skip testing
- 17.Which of these uses AI? (a) a torch (b) a printed timetable (c) voice typing (d) a digital watch
- 18.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
- 19.Which of these is generative AI (it makes something new)? (a) predicting rain (b) turning speech to text (c) writing a new poem (d) sorting photos by face
- 20.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) copy old unfair choices
- 21.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 22.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) children speak too fast (d) the phone was new
- 23.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
- 25.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
- 26.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
- 27.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
- 28.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) yes, it can think (d) no, it follows rules
- 29.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 30.Which of these is a fact about AI? (a) AI has real feelings (b) AI answers need checking (c) long answers are true (d) confident means correct
- 31.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
- 32.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
- 33.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the textbook (d) trust the AI
- 34.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
- 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) making up a story (c) writing a new poem (d) drawing a new picture
- 36.Which of these is not AI? (a) a spam filter (b) a voice assistant (c) video suggestions (d) a light switch
- 37.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
- 38.Which of these uses AI? (a) a kitchen weighing scale (b) a calculator (c) a light switch (d) photos grouped by face
- 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
- 40.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) the font size (c) a sticker on a laptop (d) the price
Answer key
- good for training
- checking labels twice
- a normal program
- AI can make up facts
- copy old unfair choices
- a normal program
- it may get it wrong
- reduces bias
- True
- True
- predicts likely words
- a simple rule is enough
- True
- AI can be wrong
- False
- skip testing
- voice typing
- the learned patterns
- writing a new poem
- test on many groups
- a simple rule is enough
- few child voices in data
- one-sided data
- the learned patterns
- True
- it learns from examples
- True
- no, it follows rules
- reduces bias
- AI answers need checking
- False
- reduces bias
- trust the textbook
- uses AI
- turning speech to text
- a light switch
- True
- photos grouped by face
- balanced data
- the right answer tag
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students