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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
- 2.🔍 Which is the odd one out? (a) a light switch (b) photos grouped by face (c) a torch (d) a stopwatch
- 3.🤖 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
- 4.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) test on many groups
- 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
- 6.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) predicting (c) recognising (d) generating
- 7.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
- 8.Which of these describes how AI works? (a) never learns from data (b) learns from examples (c) follows fixed rules (d) uses rules people wrote
- 9.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
- 10.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
- 11.True or false: “what training builds” is a prediction. (a) False (b) True
- 12.🔍 Which is the odd one out? (a) long answers are true (b) AI knows everything (c) AI has real feelings (d) AI can make up facts
- 13.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
- 14.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
- 15.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
- 16.Which of these is a fact about AI? (a) AI has real feelings (b) confident means correct (c) AI learns from data (d) AI always checks facts
- 17.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
- 18.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
- 19.🔍 Which is the odd one out? (a) a digital watch (b) voice typing (c) photos grouped by face (d) an AI chatbot
- 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
- 21.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
- 22.🛠️ What helps make an AI system fairer? (a) one group only (b) more varied data (c) fewer tests (d) ignoring mistakes
- 23.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
- 24.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
- 25.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) ask it to hurry (c) never do maths (d) check it on paper
- 26.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
- 27.Which of these uses AI? (a) a printed timetable (b) a calculator (c) a doorbell (d) face unlock on a phone
- 28.True or false: “improves with more data” describes how AI works. (a) False (b) True
- 29.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
- 30.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
- 31.Which of these is a fact about AI? (a) AI is never wrong (b) AI answers need checking (c) AI knows everything (d) AI has real feelings
- 32.🔍 Which is the odd one out? (a) many varied examples (b) testing on training data (c) correct labels (d) photos in many lights
- 33.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) text (c) music or sound
- 34.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
- 35.🎨 An image generator makes a picture from… (a) a phone number (b) a text description (c) the weather (d) your password
- 36.True or false: “same steps every time” describes how AI works. (a) False (b) True
- 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
- 38.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
- 39.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
Answer key
- spam
- photos grouped by face
- no, it finds patterns
- test on many groups
- adds to bias
- predicting
- no, it can be wrong
- learns from examples
- bad for training
- what training builds
- False
- AI can make up facts
- True
- a simple rule is enough
- False
- AI learns from data
- few child voices in data
- False
- a digital watch
- training data
- False
- more varied data
- False
- not a real check
- check it on paper
- recommending
- face unlock on a phone
- True
- reduces bias
- one-sided data
- AI answers need checking
- testing on training data
- music or sound
- recorded spoken words
- a text description
- False
- many labelled photos
- makes something new
- AI
- what training builds
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students