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: “a picture of a castle made of mangoes” asks for text. (a) True (b) False
- 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) trust the AI (d) share it online
- 3.🏷️ 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
- 4.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
- 5.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
- 6.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
- 7.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
- 8.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
- 9.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
- 10.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
- 11.🔍 Which is the odd one out? (a) skip testing (b) fix wrong labels (c) use one group only (d) add more of the same
- 12.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
- 13.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
- 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
- 15.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
- 16.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) photos in many lights (d) copies of one photo
- 17.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) ignore complaints (d) copy old unfair choices
- 18.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
- 19.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
- 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
- 21.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
- 22.Which of these uses AI? (a) face unlock on a phone (b) a light switch (c) a torch (d) a digital watch
- 23.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
- 24.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
- 25.Which of these is bad for training a model? (a) correct labels (b) only one kind of example (c) clear, sharp examples (d) photos in many lights
- 26.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
- 27.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 28.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 29.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
- 30.Which of these is bad for training a model? (a) labels added at random (b) correct labels (c) new data for testing (d) photos in many lights
- 31.Which of these adds to bias? (a) ask different people (b) use one group only (c) test on many groups (d) check who is missing
- 32.Which of these is generative AI (it makes something new)? (a) writing a new poem (b) unlocking with a face (c) spotting a sick leaf (d) sorting photos by face
- 33.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
- 34.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
- 35.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
- 36.Which of these describes how AI works? (a) same steps every time (b) handles unseen examples (c) one set rule per case (d) never learns from data
- 37.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 38.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
- 39.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
- 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
Answer key
- False
- trust the textbook
- not spam
- music or sound
- True
- False
- balanced data
- False
- bad for training
- not a real check
- fix wrong labels
- not AI
- True
- to see if it works
- it learns from examples
- photos in many lights
- test on many groups
- False
- bad for training
- many labelled photos
- no, it follows rules
- face unlock on a phone
- one-sided data
- more varied data
- only one kind of example
- uses AI
- reduces bias
- balanced data
- a simple rule is enough
- labels added at random
- use one group only
- writing a new poem
- needs AI (learning)
- it learns patterns
- True
- handles unseen examples
- makes something new
- True
- good for training
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students