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.True or false: “test on many groups” adds to bias. (a) True (b) False
- 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) the phone was new (c) it was a rainy day (d) children speak too fast
- 3.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
- 4.Which of these is a fact about AI? (a) AI copies data patterns (b) confident means correct (c) long answers are true (d) AI knows everything
- 5.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 6.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
- 7.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
- 8.Which of these helps reduce bias? (a) add more of the same (b) balance the data (c) test on one group only (d) ignore complaints
- 9.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
- 10.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) ignore complaints (d) check who is missing
- 11.True or false: “add more of the same” helps reduce bias. (a) False (b) True
- 12.Which of these uses AI? (a) a microwave timer (b) a doorbell (c) voice typing (d) a stopwatch
- 13.True or false: “labelled fruit photos” is the model. (a) False (b) True
- 14.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 15.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
- 16.🔍 Which is the odd one out? (a) checking labels twice (b) very few examples (c) clear, sharp examples (d) many varied examples
- 17.Which of these uses AI? (a) a microwave timer (b) a digital watch (c) face unlock on a phone (d) a doorbell
- 18.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 19.True or false: “long answers are true” is a fact about AI. (a) True (b) False
- 20.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
- 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) making up a story (c) suggesting a video (d) inventing a recipe
- 22.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) many varied examples (d) very few examples
- 23.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) AI always checks facts (d) AI can make up facts
- 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
- 25.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
- 26.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
- 27.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
- 28.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
- 29.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
- 30.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) recommending (d) predicting
- 31.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
- 32.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
- 33.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) reading number plates (c) turning speech to text (d) drafting a letter
- 34.True or false: “ask different people” helps reduce bias. (a) False (b) True
- 35.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 36.🎨 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
- 37.🔍 Which is the odd one out? (a) confident means correct (b) AI can make up facts (c) AI learns from data (d) AI can mix up numbers
- 38.Which of these is good for training a model? (a) blurry, unclear photos (b) only one kind of example (c) photos in many lights (d) testing on training data
- 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) bias from data (d) a strong battery
- 40.True or false: “what training builds” is a prediction. (a) True (b) False
Answer key
- False
- few child voices in data
- a normal program
- AI copies data patterns
- makes something new
- the trained program
- past weather records
- balance the data
- not AI
- check who is missing
- False
- voice typing
- False
- one-sided data
- True
- very few examples
- face unlock on a phone
- a normal program
- False
- no, check it anyway
- suggesting a video
- many varied examples
- AI can make up facts
- bad for training
- False
- AI
- True
- check it on paper
- bad for training
- recommending
- better at its task
- no, it finds patterns
- drafting a letter
- True
- needs AI (learning)
- an image
- confident means correct
- photos in many lights
- bias from data
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students