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.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI can make up facts (d) confident means correct
- 2.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
- 3.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
- 4.True or false: “typing a new spoken word” is training data. (a) False (b) True
- 5.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
- 6.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) recommending (c) recognising (d) predicting
- 7.True or false: “testing on training data” is bad for training a model. (a) False (b) True
- 8.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
- 10.Which of these is bad for training a model? (a) photos in many lights (b) examples of every type (c) new data for testing (d) wrong labels
- 11.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
- 12.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
- 13.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
- 14.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
- 15.🔍 Which is the odd one out? (a) ignore complaints (b) add varied examples (c) test on one group only (d) add more of the same
- 16.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
- 17.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
- 18.🔍 Which is the odd one out? (a) writing quiz questions (b) predicting rain (c) spotting a sick leaf (d) unlocking with a face
- 19.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 20.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) generating (b) recommending (c) recognising (d) predicting
- 21.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
- 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) writing quiz questions (d) making up a story
- 23.🔍 Which is the odd one out? (a) writing a new poem (b) reading number plates (c) unlocking with a face (d) spotting spam
- 24.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
- 25.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
- 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
- 27.True or false: “add varied examples” helps reduce bias. (a) False (b) True
- 28.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
- 29.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting a sick leaf (c) sorting photos by face (d) composing a new tune
- 30.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recognising (c) recommending (d) predicting
- 31.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) tomorrow’s rain guess (d) naming a new fruit photo
- 32.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
- 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 34.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
- 35.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) correct labels (d) checking labels twice
- 36.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) many varied examples (d) correct labels
- 37.🎨 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
- 38.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
- 39.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) confident means correct (d) AI learns from data
- 40.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
Answer key
- AI can make up facts
- no, it can be wrong
- a normal program
- False
- True
- recommending
- True
- a normal program
- check it on paper
- wrong labels
- the learned patterns
- its training data
- True
- True
- add varied examples
- a myth
- a real check
- writing quiz questions
- a fact
- generating
- False
- spotting spam
- writing a new poem
- True
- learn from data
- a prediction
- True
- False
- composing a new tune
- recognising
- 500 labelled leaf photos
- False
- balanced data
- False
- very few examples
- only one kind of example
- an image
- AI
- confident means correct
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students