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: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
- 2.True or false: “a drum beat for a dance” asks for an image. (a) False (b) True
- 3.True or false: a camera app naming the flower you point at is AI generating something new. (a) True (b) False
- 4.🔍 Which is the odd one out? (a) video suggestions (b) a doorbell (c) a light switch (d) a calculator
- 5.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
- 6.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
- 7.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) test on many groups
- 8.🔍 Which is the odd one out? (a) a digital watch (b) a kitchen weighing scale (c) a microwave timer (d) a spam filter
- 9.True or false: “improves with more data” describes how AI works. (a) False (b) True
- 10.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
- 11.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
- 12.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will be perfect (d) it will shut down
- 13.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a basic calculator (d) a spam filter
- 14.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
- 15.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
- 16.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) look in your textbook (d) pick a lucky number
- 17.🔍 Which is the odd one out? (a) writing a new poem (b) drafting a letter (c) drawing a new picture (d) sorting photos by face
- 18.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI copies data patterns (d) AI is never wrong
- 19.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) labelled fruit photos (d) what training builds
- 20.🔍 Which is the odd one out? (a) fix wrong labels (b) test on one group only (c) ask different people (d) balance the data
- 21.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
- 22.Which of these helps reduce bias? (a) ignore complaints (b) skip testing (c) ask different people (d) use one group only
- 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
- 24.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
- 25.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
- 26.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI has real feelings (d) AI can mix up numbers
- 27.Which of these is a myth about AI? (a) AI can make up facts (b) AI always checks facts (c) AI answers need checking (d) AI learns from data
- 28.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 29.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) many varied examples (d) very few examples
- 30.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
- 31.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
- 32.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
- 33.Which of these is not AI? (a) a spam filter (b) photos grouped by face (c) a calculator (d) video suggestions
- 34.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
- 35.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
- 36.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
- 37.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
- 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) making up a story (d) inventing a recipe
- 39.🐶 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
- 40.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
Answer key
- False
- False
- False
- video suggestions
- True
- False
- test on many groups
- a spam filter
- True
- AI
- needs AI (learning)
- it may get it wrong
- a basic calculator
- False
- False
- look in your textbook
- sorting photos by face
- AI copies data patterns
- labelled fruit photos
- test on one group only
- uses AI
- ask different people
- training data
- one-sided data
- True
- AI can mix up numbers
- AI always checks facts
- a real check
- very few examples
- not a real check
- bad for training
- one-sided data
- a calculator
- False
- True
- the learned patterns
- not AI
- spotting spam
- many labelled photos
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students