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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 2.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
- 3.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) sorting photos by face (d) drawing a new picture
- 4.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
- 5.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
- 6.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
- 7.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
- 8.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
- 9.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
- 10.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
- 11.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
- 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
- 13.🔍 Which is the odd one out? (a) copies of one photo (b) labels added at random (c) clear, sharp examples (d) very few examples
- 14.True or false: “check who is missing” adds to bias. (a) False (b) True
- 15.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
- 16.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
- 17.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
- 18.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) asks a person (d) uses magic
- 19.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
- 20.🔍 Which is the odd one out? (a) predicting rain (b) drawing a new picture (c) writing a new poem (d) creating a cartoon
- 21.Which of these is bad for training a model? (a) photos in many lights (b) new data for testing (c) only one kind of example (d) checking labels twice
- 22.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
- 23.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
- 24.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) uses rules people wrote (d) gives a likely answer
- 25.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
- 26.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
- 27.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
- 28.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) add more of the same (d) check who is missing
- 29.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
- 30.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
- 31.Which of these is good for training a model? (a) blurry, unclear photos (b) copies of one photo (c) clear, sharp examples (d) wrong labels
- 32.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
- 33.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) follows fixed rules (d) improves with more data
- 34.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its colour (c) its training data (d) the weather
- 35.True or false: “the trained program” is the model. (a) True (b) False
- 36.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
- 37.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
- 38.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
- 39.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
- 40.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
Answer key
- one-sided data
- a simple rule is enough
- sorting photos by face
- one-sided data
- False
- 500 labelled leaf photos
- True
- sorts or predicts
- a real check
- uses AI
- True
- not spam
- clear, sharp examples
- False
- True
- it learns patterns
- not AI
- predicts likely words
- music or sound
- predicting rain
- only one kind of example
- text
- True
- uses rules people wrote
- True
- one-sided data
- False
- check who is missing
- a fact
- False
- clear, sharp examples
- AI
- follows fixed rules
- its training data
- True
- balanced data
- False
- uses AI
- text
- predicting
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students