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.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a label (d) a battery
- 2.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
- 3.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
- 4.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
- 5.Which of these is a myth about AI? (a) AI is never wrong (b) AI learns from data (c) AI answers need checking (d) AI copies data patterns
- 6.Which of these is a fact about AI? (a) AI has real feelings (b) long answers are true (c) confident means correct (d) AI can be wrong
- 7.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
- 8.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
- 9.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) naming a new fruit photo
- 10.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
- 11.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
- 12.🔍 Which is the odd one out? (a) voice typing (b) a calculator (c) face unlock on a phone (d) an AI chatbot
- 13.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) children speak too fast (c) it was a rainy day (d) the phone was new
- 14.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
- 15.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
- 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
- 17.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) does exactly as coded (d) learns from examples
- 18.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) AI knows everything
- 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
- 20.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
- 21.True or false: “the learned patterns” is the model. (a) False (b) True
- 22.True or false: “long answers are true” is a myth about AI. (a) True (b) False
- 23.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
- 24.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
- 25.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) add varied examples (d) copy old unfair choices
- 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
- 28.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
- 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
- 30.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
- 31.Which of these is not AI? (a) video suggestions (b) face unlock on a phone (c) a spam filter (d) a light switch
- 32.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) photos in many lights (d) labels added at random
- 33.Which of these uses AI? (a) a map predicting traffic (b) a light switch (c) a stopwatch (d) a calculator
- 34.Which of these is good for training a model? (a) testing on training data (b) only one kind of example (c) blurry, unclear photos (d) many varied examples
- 35.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
- 36.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) does exactly as coded (d) learns from examples
- 37.🔍 Which is the odd one out? (a) composing a new tune (b) sorting photos by face (c) suggesting a video (d) unlocking with a face
- 38.True or false: “it has a neat layout” is a real way to check an AI answer. (a) False (b) True
- 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
- 40.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
Answer key
- a prompt
- no, it can be wrong
- labelled fruit photos
- not AI
- AI is never wrong
- AI can be wrong
- artificial intelligence
- AI
- naming a new fruit photo
- reduces bias
- more varied data
- a calculator
- few child voices in data
- AI
- uses AI
- a prediction
- does exactly as coded
- AI knows everything
- training data
- a myth
- True
- True
- True
- True
- copy old unfair choices
- training data
- True
- makes something new
- training data
- AI
- a light switch
- photos in many lights
- a map predicting traffic
- many varied examples
- False
- learns from examples
- composing a new tune
- False
- False
- recorded spoken words
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students