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: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 2.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) AI can make up facts (d) confident means correct
- 3.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
- 4.📚 Good or bad for training a model: only one kind of example? (a) good for training (b) bad for training
- 5.True or false: “past weather records” is training data. (a) False (b) True
- 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
- 7.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recognising (c) predicting (d) recommending
- 8.Which of these uses AI? (a) a digital watch (b) face unlock on a phone (c) a calculator (d) a doorbell
- 9.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
- 10.🔍 Which is the odd one out? (a) face unlock on a phone (b) video suggestions (c) an AI chatbot (d) a microwave timer
- 11.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
- 12.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
- 13.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
- 14.True or false: “recorded spoken words” is the model. (a) False (b) True
- 15.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
- 16.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
- 17.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) confident means correct (d) AI can be wrong
- 18.🔍 Which is the odd one out? (a) writing quiz questions (b) drawing a new picture (c) spotting spam (d) writing a new poem
- 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
- 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
- 21.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) predicting (c) recognising (d) recommending
- 22.True or false: a map app guessing how long a trip will take is AI recommending something. (a) True (b) False
- 23.🔍 Which is the odd one out? (a) voice typing (b) a fan regulator (c) a calculator (d) a light switch
- 24.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
- 25.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
- 26.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
- 27.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing quiz questions (c) predicting rain (d) making up a story
- 29.True or false: “test on many groups” adds to bias. (a) False (b) True
- 30.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) recommending (c) generating (d) predicting
- 31.Which of these is not AI? (a) a map predicting traffic (b) video suggestions (c) photos grouped by face (d) a calculator
- 32.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 33.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a strong battery (c) bias from data (d) a broken screen
- 34.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
- 35.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
- 36.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
- 37.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
- 38.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can mix up numbers (d) long answers are true
- 39.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
- 40.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
Answer key
- one-sided data
- AI can make up facts
- music or sound
- bad for training
- True
- a prediction
- predicting
- face unlock on a phone
- its training data
- a microwave timer
- a myth
- False
- True
- False
- artificial intelligence
- uses AI
- AI can be wrong
- spotting spam
- reduces bias
- a prediction
- recommending
- False
- voice typing
- recommending
- data, model, prediction
- not a real check
- False
- predicting rain
- False
- recognising
- a calculator
- balanced data
- bias from data
- a myth
- better at its task
- True
- True
- AI can mix up numbers
- True
- a normal program
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students