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.Which of these is a fact about AI? (a) AI copies data patterns (b) long answers are true (c) confident means correct (d) AI has real feelings
- 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
- 3.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
- 4.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 5.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
- 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting spam (c) drafting a letter (d) composing a new tune
- 7.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
- 8.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
- 9.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
- 10.🔍 Which is the odd one out? (a) fix wrong labels (b) check who is missing (c) add varied examples (d) ignore complaints
- 11.🔍 Which is the odd one out? (a) a spam filter (b) a digital watch (c) a voice assistant (d) video suggestions
- 12.Which of these uses AI? (a) an app translating signs (b) a digital watch (c) a light switch (d) a kitchen weighing scale
- 13.True or false: an online shop showing “you may also like” is AI predicting something. (a) True (b) False
- 14.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) check it on paper (d) copy it straight away
- 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
- 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
- 17.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) long answers are true (d) AI can mix up numbers
- 18.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
- 19.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) copy old unfair choices (d) ask different people
- 20.🔍 Which is the odd one out? (a) a spam filter (b) a torch (c) a microwave timer (d) a printed timetable
- 21.True or false: “test on one group only” helps reduce bias. (a) True (b) False
- 22.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
- 23.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
- 24.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
- 25.Which of these is a myth about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI can make up facts (d) AI learns from data
- 26.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
- 27.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
- 28.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
- 29.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) recommending (c) predicting (d) generating
- 30.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
- 31.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
- 32.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 33.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
- 34.🔍 Which is the odd one out? (a) long answers are true (b) AI learns from data (c) AI always checks facts (d) confident means correct
- 35.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) ignore complaints (d) skip testing
- 36.True or false: “many varied examples” is good for training a model. (a) True (b) False
- 37.Which of these is good for training a model? (a) many varied examples (b) blurry, unclear photos (c) testing on training data (d) very few examples
- 38.Which of these is good for training a model? (a) new data for testing (b) wrong labels (c) testing on training data (d) very few examples
- 39.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
- 40.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
Answer key
- AI copies data patterns
- few child voices in data
- not a real check
- a normal program
- a real check
- spotting spam
- sorts or predicts
- makes something new
- True
- ignore complaints
- a digital watch
- an app translating signs
- False
- check it on paper
- a prediction
- 500 labelled leaf photos
- long answers are true
- makes something new
- copy old unfair choices
- a spam filter
- False
- makes something new
- True
- True
- AI has real feelings
- a simple rule is enough
- False
- data, model, prediction
- recognising
- True
- False
- False
- True
- AI learns from data
- test on many groups
- True
- many varied examples
- new data for testing
- reduces bias
- uses AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students