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 the model? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) naming a new fruit photo
- 2.🔍 Which is the odd one out? (a) video suggestions (b) photos grouped by face (c) a map predicting traffic (d) a digital watch
- 3.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) spotting spam (c) spotting a sick leaf (d) unlocking with a face
- 4.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
- 5.True or false: “fix wrong labels” adds to bias. (a) False (b) True
- 6.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
- 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
- 8.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
- 9.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
- 10.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
- 11.True or false: “makes a best guess” describes how AI works. (a) True (b) False
- 12.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
- 13.Which of these uses AI? (a) a digital watch (b) face unlock on a phone (c) a calculator (d) a torch
- 14.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
- 15.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
- 16.True or false: “labels added at random” is good for training a model. (a) False (b) True
- 17.Which of these uses AI? (a) a digital watch (b) video suggestions (c) a stopwatch (d) a calculator
- 18.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
- 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 20.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
- 21.Which of these helps reduce bias? (a) add varied examples (b) ignore complaints (c) skip testing (d) use one group only
- 22.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
- 23.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
- 24.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
- 25.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
- 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
- 27.True or false: “wrong labels” is bad for training a model. (a) False (b) True
- 28.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) does exactly as coded (d) makes a best guess
- 29.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
- 30.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
- 31.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) recommending (d) predicting
- 32.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI can be wrong (d) AI is never wrong
- 33.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) AI has real feelings (d) AI can be wrong
- 34.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
- 35.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
- 36.🔍 Which is the odd one out? (a) examples of every type (b) new data for testing (c) labels added at random (d) correct labels
- 37.True or false: “a poster of a rainforest” asks for music or sound. (a) True (b) False
- 38.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) spotting a sick leaf (c) spotting spam (d) unlocking with a face
- 39.🔍 Which is the odd one out? (a) voice typing (b) video suggestions (c) an AI chatbot (d) a printed timetable
- 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) drawing a new picture (d) spotting a sick leaf
Answer key
- what training builds
- a digital watch
- composing a new tune
- uses AI
- False
- one-sided data
- the model
- an image
- adds to bias
- needs AI (learning)
- True
- reduces bias
- face unlock on a phone
- a prompt
- makes something new
- False
- video suggestions
- True
- AI
- reduces bias
- add varied examples
- False
- people
- uses AI
- to see if it works
- a prediction
- True
- makes a best guess
- uses AI
- balanced data
- predicting
- AI can be wrong
- AI has real feelings
- reduces bias
- False
- labels added at random
- False
- drawing a new picture
- a printed timetable
- spotting a sick leaf
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students