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.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
- 2.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) handles unseen examples (d) does exactly as coded
- 3.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) generating (c) recommending (d) predicting
- 4.Which of these uses AI? (a) a light switch (b) a kitchen weighing scale (c) a microwave timer (d) face unlock on a phone
- 5.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
- 6.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
- 7.True or false: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
- 8.🔍 Which is the odd one out? (a) photos grouped by face (b) a map predicting traffic (c) voice typing (d) a digital watch
- 9.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) the phone was new (d) few child voices in data
- 10.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
- 11.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
- 12.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
- 13.🔍 Which is the odd one out? (a) AI always checks facts (b) long answers are true (c) AI can make up facts (d) AI knows everything
- 14.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
- 15.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) the learned patterns
- 16.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) False (b) True
- 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
- 18.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
- 19.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
- 20.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
- 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
- 22.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
- 23.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) creating a cartoon (d) spotting a sick leaf
- 24.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) voice typing (d) face unlock
- 25.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
- 26.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
- 27.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
- 28.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
- 29.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
- 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
- 31.True or false: “add varied examples” adds to bias. (a) False (b) True
- 32.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
- 33.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
- 34.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 35.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
- 36.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) long answers are true (d) AI can mix up numbers
- 37.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
- 38.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
- 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
- 40.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
Answer key
- False
- does exactly as coded
- generating
- face unlock on a phone
- predicts likely words
- False
- False
- a digital watch
- few child voices in data
- the trained program
- a real check
- False
- AI can make up facts
- the trained program
- labelled fruit photos
- True
- reduces bias
- not a real check
- True
- past weather records
- not spam
- a simple rule is enough
- creating a cartoon
- a basic calculator
- adds to bias
- a fact
- True
- a normal program
- no
- not spam
- False
- it learns patterns
- bad for training
- needs AI (learning)
- False
- long answers are true
- False
- a text description
- the model
- uses AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students