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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
- 2.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing
- 3.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) a voice assistant (d) a light switch
- 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
- 5.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
- 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
- 7.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) does exactly as coded (d) handles unseen examples
- 8.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
- 9.🔍 Which is the odd one out? (a) AI can be wrong (b) AI has real feelings (c) AI copies data patterns (d) AI learns from data
- 10.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
- 11.Which of these is bad for training a model? (a) many varied examples (b) only one kind of example (c) correct labels (d) clear, sharp examples
- 12.🔍 Which is the odd one out? (a) drawing a new picture (b) creating a cartoon (c) suggesting a video (d) drafting a letter
- 13.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
- 14.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) many varied examples (d) examples of every type
- 15.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) correct labels (d) new data for testing
- 16.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) never learns from data (d) follows fixed rules
- 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
- 18.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
- 19.True or false: “very few examples” is bad for training a model. (a) True (b) False
- 20.True or false: “test on many groups” adds to bias. (a) False (b) True
- 21.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
- 22.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
- 23.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
- 24.Which of these is not AI? (a) video suggestions (b) an app translating signs (c) a printed timetable (d) voice typing
- 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
- 26.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI knows everything (c) long answers are true (d) AI has real feelings
- 27.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 28.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) new data for testing (d) photos in many lights
- 29.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) photos in many lights (d) testing on training data
- 30.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
- 31.🏷️ 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
- 32.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
- 33.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 34.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) blurry, unclear photos (d) checking labels twice
- 35.True or false: “a soft lullaby melody” asks for text. (a) False (b) True
- 36.Which of these is not AI? (a) an AI chatbot (b) video suggestions (c) a light switch (d) a map predicting traffic
- 37.🔍 Which is the odd one out? (a) AI learns from data (b) AI answers need checking (c) AI can make up facts (d) AI always checks facts
- 38.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact
- 39.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
- 40.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
Answer key
- not spam
- a basic calculator
- a light switch
- True
- AI
- to see if it works
- handles unseen examples
- False
- AI has real feelings
- True
- only one kind of example
- suggesting a video
- not AI
- only one kind of example
- copies of one photo
- learns from examples
- spam
- a normal program
- True
- False
- False
- False
- bias from data
- a printed timetable
- the learned patterns
- AI can mix up numbers
- needs AI (learning)
- labels added at random
- photos in many lights
- not AI
- not spam
- False
- needs AI (learning)
- blurry, unclear photos
- False
- a light switch
- AI always checks facts
- a myth
- data, model, prediction
- a hallucination
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students