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.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
- 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
- 3.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
- 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
- 5.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
- 6.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
- 7.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
- 8.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) copies of one photo (d) new data for testing
- 9.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
- 10.🔍 Which is the odd one out? (a) spotting a sick leaf (b) turning speech to text (c) drafting a letter (d) suggesting a video
- 11.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
- 12.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
- 13.Which of these is a prediction? (a) past weather records (b) the trained program (c) recorded spoken words (d) flagging a new email
- 14.True or false: “examples of every type” is bad for training a model. (a) False (b) True
- 15.True or false: “add varied examples” helps reduce bias. (a) False (b) True
- 16.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) check it on paper (c) ask it to hurry (d) copy it straight away
- 17.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
- 18.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recognising (c) recommending (d) predicting
- 19.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
- 20.Which of these is not AI? (a) a microwave timer (b) photos grouped by face (c) a voice assistant (d) face unlock on a phone
- 21.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
- 22.Which of these uses AI? (a) a torch (b) a microwave timer (c) a fan regulator (d) video suggestions
- 23.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
- 24.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
- 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) predicting rain (d) drafting a letter
- 26.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
- 27.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
- 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
- 29.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
- 30.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
- 31.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
- 32.🔍 Which is the odd one out? (a) fix wrong labels (b) add more of the same (c) check who is missing (d) test on many groups
- 33.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
- 34.True or false: “asking the same AI again” is a real way to check an AI answer. (a) True (b) False
- 35.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
- 36.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
- 37.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) never learns from data (d) improves with more data
- 38.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
- 39.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
- 40.🔍 Which is the odd one out? (a) photos in many lights (b) testing on training data (c) correct labels (d) examples of every type
Answer key
- reduces bias
- spam
- False
- not spam
- one-sided data
- no, check it anyway
- needs AI (learning)
- new data for testing
- a fact
- drafting a letter
- an image
- text
- flagging a new email
- False
- True
- check it on paper
- False
- generating
- no, it follows rules
- a microwave timer
- text
- video suggestions
- data, model, prediction
- False
- drafting a letter
- adds to bias
- False
- the model
- False
- a prompt
- a basic calculator
- add more of the same
- a simple rule is enough
- False
- artificial intelligence
- True
- improves with more data
- True
- True
- testing on training data
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students