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.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
- 2.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
- 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) stop studying (d) share it online
- 4.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
- 5.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) predicting (c) recommending (d) generating
- 6.True or false: “the trained program” is training data. (a) False (b) True
- 7.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
- 8.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 9.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) unlocking with a face (d) making up a story
- 10.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
- 11.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
- 12.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
- 13.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) photos grouped by face (d) a torch
- 14.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
- 15.True or false: a weather app guessing tomorrow’s rain is AI recommending something. (a) False (b) True
- 16.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
- 17.True or false: “examples of every type” is good for training a model. (a) False (b) True
- 18.True or false: turning your spoken words into typed text is AI generating something new. (a) True (b) False
- 19.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
- 20.🔍 Which is the odd one out? (a) an app translating signs (b) face unlock on a phone (c) a printed timetable (d) photos grouped by face
- 21.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) many labelled photos (c) a song about dogs (d) one single photo
- 22.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) test on one group only
- 23.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a phone number (d) a text description
- 24.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) generating (d) recommending
- 25.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
- 26.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
- 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 28.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
- 29.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
- 30.Which of these is not AI? (a) an app translating signs (b) a fan regulator (c) photos grouped by face (d) voice typing
- 31.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
- 32.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
- 33.🔍 Which is the odd one out? (a) an image generator (b) video suggestions (c) photos grouped by face (d) a microwave timer
- 34.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
- 35.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) no, it finds patterns (d) yes, it gets sad
- 36.🔍 Which is the odd one out? (a) only one kind of example (b) copies of one photo (c) photos in many lights (d) blurry, unclear photos
- 37.Which of these adds to bias? (a) ask different people (b) check who is missing (c) use one group only (d) add varied examples
- 38.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
- 39.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
- 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
Answer key
- makes something new
- a fact
- trust the textbook
- True
- predicting
- False
- what training builds
- bad for training
- making up a story
- sorts or predicts
- False
- AI
- a torch
- its training data
- False
- False
- True
- False
- balanced data
- a printed timetable
- many labelled photos
- add varied examples
- a text description
- generating
- a real check
- makes new content
- balanced data
- data, model, prediction
- False
- a fan regulator
- True
- no, it can be wrong
- a microwave timer
- music or sound
- no, it finds patterns
- photos in many lights
- use one group only
- text
- bad for training
- not spam
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students