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) reduces bias (b) adds to bias
- 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
- 3.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) naming a new fruit photo
- 4.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) spotting spam (c) predicting rain (d) drafting a letter
- 5.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) test on one group only (d) use one group only
- 6.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
- 7.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
- 8.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) the weather (d) its colour
- 9.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
- 10.🔍 Which is the odd one out? (a) a voice assistant (b) photos grouped by face (c) video suggestions (d) a calculator
- 11.True or false: “what training builds” is training data. (a) True (b) False
- 12.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
- 13.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
- 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
- 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) many labelled photos (d) a list of rules only
- 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
- 17.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
- 18.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) the trained program (d) naming a new leaf
- 19.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
- 20.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recommending (b) predicting (c) recognising (d) generating
- 21.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
- 22.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
- 23.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
- 24.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
- 25.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
- 26.🔍 Which is the odd one out? (a) a stopwatch (b) a light switch (c) voice typing (d) a printed timetable
- 27.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
- 28.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) an image (c) text
- 29.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
- 30.Which of these is training data? (a) past weather records (b) naming a new leaf (c) the trained program (d) typing a new spoken word
- 31.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
- 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
- 33.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
- 34.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
- 35.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
- 36.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
- 37.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 38.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) voice typing (d) a kitchen weighing scale
- 39.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) correct labels (d) wrong labels
- 40.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
Answer key
- reduces bias
- spam
- what training builds
- drafting a letter
- ask different people
- text
- False
- its training data
- reduces bias
- a calculator
- False
- sorts or predicts
- True
- bias from data
- many labelled photos
- good for training
- a real check
- naming a new leaf
- False
- generating
- the model
- not AI
- more varied data
- False
- look in your textbook
- voice typing
- False
- an image
- it learns patterns
- past weather records
- True
- a prediction
- good for training
- predicts likely words
- False
- a real check
- True
- a kitchen weighing scale
- wrong labels
- better at its task
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students