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: “AI can be wrong” is a fact about AI. (a) False (b) True
- 2.🔍 Which is the odd one out? (a) new data for testing (b) only one kind of example (c) correct labels (d) examples of every type
- 3.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
- 4.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
- 5.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) unlocking with a face (d) composing a new tune
- 6.Which of these is good for training a model? (a) only one kind of example (b) wrong labels (c) labels added at random (d) correct labels
- 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
- 8.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
- 9.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 10.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
- 11.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) copy old unfair choices (d) test on many groups
- 12.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
- 13.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
- 14.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI knows everything (d) confident means correct
- 15.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ask different people (d) add more of the same
- 16.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) handles unseen examples (d) learns from examples
- 17.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
- 18.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
- 19.🎨 An image generator makes a picture from… (a) a text description (b) your password (c) a phone number (d) the weather
- 20.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
- 21.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) predicting (d) recognising
- 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
- 23.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
- 24.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
- 25.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
- 26.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
- 27.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) AI knows everything (d) AI can be wrong
- 28.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
- 30.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) new data for testing (d) testing on training data
- 31.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
- 32.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
- 33.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) confident means correct (d) AI can mix up numbers
- 34.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
- 35.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
- 36.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True
- 37.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it uses electricity (c) it learns from examples (d) it is always right
- 38.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
- 39.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) test on many groups (d) ask different people
- 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
Answer key
- True
- only one kind of example
- artificial intelligence
- adds to bias
- composing a new tune
- correct labels
- good for training
- False
- AI
- True
- test on many groups
- a fact
- False
- AI can make up facts
- ask different people
- follows fixed rules
- a real check
- a myth
- a text description
- an image
- recognising
- training data
- a fact
- naming a new leaf
- better at its task
- no
- AI can be wrong
- a normal program
- training data
- testing on training data
- needs AI (learning)
- False
- AI can mix up numbers
- True
- a real check
- False
- it learns from examples
- a basic calculator
- add more of the same
- a prediction
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students