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) AI knows everything (b) AI has real feelings (c) AI answers need checking (d) confident means correct
- 2.True or false: “ask different people” adds to bias. (a) True (b) False
- 3.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) making up a story (d) unlocking with a face
- 4.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) no, it finds patterns (d) yes, it gets sad
- 5.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a fair model (c) a strong battery (d) bias from data
- 6.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
- 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
- 8.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) handles unseen examples (d) does exactly as coded
- 9.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) tomorrow’s rain guess
- 10.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
- 11.🔍 Which is the odd one out? (a) face unlock on a phone (b) a calculator (c) an AI chatbot (d) photos grouped by face
- 12.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
- 13.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
- 14.Which of these is a myth about AI? (a) AI always checks facts (b) AI can be wrong (c) AI can make up facts (d) AI answers need checking
- 15.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
- 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
- 17.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
- 18.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) wrong labels (d) new data for testing
- 19.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
- 20.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) unlocking with a face (b) writing a new poem (c) creating a cartoon (d) inventing a recipe
- 22.True or false: “naming a new fruit photo” is the model. (a) True (b) False
- 23.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI learns from data (d) AI copies data patterns
- 24.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
- 25.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
- 26.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
- 27.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
- 28.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI knows everything (c) AI can be wrong (d) AI answers need checking
- 29.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
- 30.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
- 31.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
- 32.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
- 33.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
- 34.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
- 35.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
- 36.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
- 37.Which of these is a fact about AI? (a) AI is never wrong (b) AI has real feelings (c) AI copies data patterns (d) AI knows everything
- 38.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI has real feelings (d) AI can make up facts
- 39.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
- 40.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
Answer key
- AI answers need checking
- False
- making up a story
- no, it finds patterns
- bias from data
- makes something new
- True
- handles unseen examples
- tomorrow’s rain guess
- True
- a calculator
- makes something new
- a real check
- AI always checks facts
- a basic calculator
- a prediction
- True
- wrong labels
- True
- sorts or predicts
- unlocking with a face
- False
- AI has real feelings
- not a real check
- False
- True
- True
- AI knows everything
- False
- True
- better at its task
- False
- AI
- False
- False
- False
- AI copies data patterns
- AI can make up facts
- bad for training
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students