Generative AI and creativity quiz

Question 1

What does 'Generative AI' mean?

Accepted Answer

AI that creates new content like text or images

Answer

AI that only deletes files

Answer

AI that only counts numbers

Answer

AI that repairs broken computers

Question 2

How does a generative AI model usually learn to create things?

Accepted Answer

By learning patterns from many examples

Answer

By copying answers from a teacher's book

Answer

By guessing randomly forever

Answer

By asking humans for every answer

Question 3

What is a 'prompt' when using a generative AI tool?

Accepted Answer

The instruction you give the AI

Answer

A type of computer screen

Answer

The AI's electricity supply

Answer

A password for the internet

Question 4

What kind of generative AI tool would you use to create a picture from a text description?

Accepted Answer

A text-to-image generator

Answer

A spreadsheet program

Answer

A calculator

Answer

A web browser

Question 5

What is a Large Language Model (LLM)?

Accepted Answer

A model trained on lots of text to produce language

Answer

A model that only stores images

Answer

A type of printer

Answer

A model for measuring distances

Question 6

Why is it important to check facts in text written by a generative AI?

Accepted Answer

Because AI can produce confident but false information

Answer

Because AI never makes mistakes

Answer

Because AI only writes in code

Answer

Because checking is illegal

Question 7

What does it mean when people say an AI 'hallucinates'?

Accepted Answer

The AI makes up false but believable information

Answer

The AI sees ghosts

Answer

The AI shuts down

Answer

The AI speaks another language

Question 8

How can generative AI help a student be more creative without doing all the work for them?

Accepted Answer

By giving ideas and feedback while you do the real work

Answer

By writing the whole assignment for you

Answer

By taking the test for you

Answer

By deleting your old work

Question 9

What is a 'token' in the context of language models?

Accepted Answer

A small chunk of text the model processes

Answer

A coin used to pay for AI

Answer

A type of computer chip

Answer

A drawing tool

Question 10

Why does a generative AI sometimes give different answers to the same prompt?

Accepted Answer

Because it adds some randomness when choosing words

Answer

Because it forgets everything instantly

Answer

Because it is broken

Answer

Because the internet changes the answer

Question 11

What is the difference between AI that classifies and AI that generates?

Accepted Answer

Classifying labels data; generating creates new content

Answer

They are exactly the same

Answer

Both only delete data

Answer

Generating only sorts files

Question 12

How can generative AI be used to compose music?

Accepted Answer

It learns note patterns and generates new tunes

Answer

It cannot make music at all

Answer

It only plays existing CDs

Answer

It tunes guitars physically

Question 13

What is 'training data' and why does its quality matter for generative AI?

Accepted Answer

The examples an AI learns from, whose quality shapes its output

Answer

Data is unimportant to AI

Answer

A type of train schedule

Answer

Only numbers the AI ignores

Question 14

Why might a generative AI show 'bias' in its creations?

Accepted Answer

Because it learns unfair patterns from its training data

Answer

Because the AI dislikes people

Answer

Because the screen is dirty

Answer

Bias is impossible in AI

Question 15

What does it mean to give credit when you use AI-generated content?

Accepted Answer

Honestly stating that AI helped with your work

Answer

Hiding that you used AI

Answer

Selling the AI

Answer

Deleting your sources

Question 16

What is a 'deepfake' and why should we be careful about it?

Accepted Answer

A fake AI-made image or video of a real person

Answer

A deep swimming pool

Answer

A new video game

Answer

A type of camera

Question 17

In simple terms, how does a generative language model decide the next word?

Accepted Answer

It predicts the most likely next word from learned patterns

Answer

It rolls a dice with letters

Answer

It copies a dictionary in order

Answer

It asks another computer to choose

Question 18

What is the role of 'weights' in a neural network used for generative AI?

Accepted Answer

Adjustable numbers that control how the network responds

Answer

The physical weight of the computer

Answer

A measure of internet speed

Answer

The cost of the AI

Question 19

How could you use a generative AI responsibly to help write a story for class?

Accepted Answer

Use it for ideas and editing, then write and disclose honestly

Answer

Submit its output as your own secretly

Answer

Never read the assignment

Answer

Copy a friend's essay instead

Question 20

What does 'temperature' control in a text-generating AI?

Accepted Answer

How random or creative the word choices are

Answer

How hot the computer gets

Answer

The speed of typing

Answer

The size of the screen

Question 21

Can a generative AI truly 'understand' what it creates the way a human does?

Accepted Answer

No, it predicts patterns without true understanding

Answer

Yes, exactly like humans

Answer

Yes, it has real emotions

Answer

No, it cannot create anything

Question 22

What is one way generative AI can help people who find drawing difficult?

Accepted Answer

It turns their word descriptions into images

Answer

It forbids them from making art

Answer

It only works for expert artists

Answer

It hides their ideas

Question 23

Why is using someone else's artwork to train an AI a tricky ethical issue?

Accepted Answer

Using others' work without permission can be unfair or illegal

Answer

It is never a problem

Answer

Artists have no rights

Answer

AI cannot copy styles

Question 24

What is a chatbot, and how is it related to generative AI?

Accepted Answer

A program you chat with, often powered by generative AI

Answer

A robot that cleans floors

Answer

A type of keyboard

Answer

A spelling game only

Question 25

How can writing a more detailed prompt improve the result from a generative AI?

Accepted Answer

More detail helps the AI match what you want

Answer

Detail confuses the AI

Answer

Short prompts are always best

Answer

Prompts do not affect results

Question 26

Why do generative AI models need such powerful computers to train?

Accepted Answer

Because training needs huge numbers of fast calculations

Answer

Because they play games

Answer

Because they need big screens

Answer

They actually need very weak computers

Question 27

How might generative AI change jobs in creative fields like writing or design?

Accepted Answer

It can change tasks and create new ways of working

Answer

It will have no effect at all

Answer

It makes all creativity illegal

Answer

It only affects sports

Question 28

What simple Python idea shows how a program can 'generate' a random creative sentence?

Accepted Answer

You randomly pick words from lists to build a sentence

Answer

You delete all words

Answer

You only print one fixed sentence

Answer

You count letters

Question 29

What does 'fine-tuning' a generative AI model mean?

Accepted Answer

Extra training on specific examples to specialize a model

Answer

Turning the volume up

Answer

Deleting the model

Answer

Making the computer cooler

Question 30

Why should you avoid sharing private or personal information with a generative AI chatbot?

Accepted Answer

Because the info may be stored and your privacy could be at risk

Answer

Because it makes the AI sad

Answer

Because typing is slow

Answer

There is no reason to be careful

Test yourself