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.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
- 2.🔍 Which is the odd one out? (a) writing quiz questions (b) turning speech to text (c) creating a cartoon (d) making up a story
- 3.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
- 4.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
- 5.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
- 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
- 7.Which of these describes how AI works? (a) never learns from data (b) does exactly as coded (c) follows fixed rules (d) spots patterns in data
- 8.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) AI learns from data (d) long answers are true
- 9.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
- 10.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
- 11.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
- 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
- 13.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) yes, it gets sad (d) no, it finds patterns
- 14.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
- 15.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI has real feelings (d) AI can make up facts
- 16.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
- 17.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) reading number plates (c) drawing a new picture (d) predicting rain
- 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
- 19.🤖 What does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
- 20.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
- 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
- 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
- 23.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 24.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) tomorrow’s rain guess (d) old emails marked spam
- 25.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) copies of one photo (d) many varied examples
- 26.Which of these is not AI? (a) face unlock on a phone (b) voice typing (c) a light switch (d) a spam filter
- 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
- 28.🔍 Which is the odd one out? (a) confident means correct (b) AI learns from data (c) AI can be wrong (d) AI copies data patterns
- 29.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
- 30.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
- 31.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
- 32.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
- 33.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
- 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
- 35.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
- 36.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) composing a new tune (c) creating a cartoon (d) drafting a letter
- 37.🔍 Which is the odd one out? (a) writing a new poem (b) turning speech to text (c) suggesting a video (d) predicting rain
- 38.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 39.Which of these uses AI? (a) a stopwatch (b) a fan regulator (c) video suggestions (d) a digital watch
- 40.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
Answer key
- reduces bias
- turning speech to text
- data, model, prediction
- uses AI
- adds to bias
- not spam
- spots patterns in data
- AI learns from data
- False
- False
- uses AI
- training data
- no, it finds patterns
- a simple rule is enough
- AI can make up facts
- text
- drawing a new picture
- the model
- artificial intelligence
- no
- to see if it works
- a prediction
- False
- the learned patterns
- many varied examples
- a light switch
- True
- confident means correct
- bad for training
- recommending
- a normal program
- recommending
- False
- spam
- good for training
- sorting photos by face
- writing a new poem
- AI
- video suggestions
- sorts or predicts
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students