Font size
WorksheetsArtificial Intelligence (AI)
Total questions: 38
Worksheet time: 19mins
What does AI stand for?
Artificial Intelligence
Automated Input
Analog Interface
Advanced Innovation
AI is when a computer can think, learn or make choices like a ________.
human
robot
animal
machine
Which of the following is an example of AI?
Smart speakers (Alexa, Google Home)
Television
Refrigerator
Washing machine
Which of the following is NOT an example of AI?
Image generators
Chat bots (like Chat GPT)
Face or voice recognition
Light bulb
Name one example of AI mentioned in the passage.
Smart speakers (Alexa, Google Home) / Image generators / Chat bots (like Chat GPT) / Face or voice recognition
Television sets
Mechanical clocks
Bicycles
What is Training Data in Artificial Intelligence (AI)? Fill in the blank: Training Data is information collected and given to a computer so it can learn patterns and make ________.
predictions
mistakes
drawings
noises
Which of the following is NOT an example of data collected about the world in Artificial Intelligence (AI)?
Sounds
Fictional stories
Text
Numbers
Images
Fill in the blank: In Artificial Intelligence (AI), a ________ is a smart guess the AI makes by looking at patterns in its training data.
prediction
error
command
instruction
What does 'Bias' mean in Artificial Intelligence (AI)? Fill in the blank: Bias is favoring some things over others, which can cause ________ decisions.
unfair
quick
random
slow
What is Machine Learning (ML) in Artificial Intelligence (AI)?
A) Computers recognize patterns and make decisions without being directly programmed.
B) Computers are programmed to follow strict rules only.
C) Computers cannot learn from data.
D) Computers only store information.
Fill in the blank: More Data = More Accurate Predictions. The more quality data, the better the AI ________.
predictions
errors
guesses
problems
What is Training Data in Artificial Intelligence (AI)?
Information collected and given to a computer so it can learn patterns and make predictions.
A smart guess the AI makes by looking at patterns in its training data.
Favoring some things over others, which can cause unfair decisions.
Computers recognize patterns and make decisions without being directly programmed.
What does Data refer to in the context of Artificial Intelligence (AI)?
A) Information we collect about the world (numbers, images, sounds, text, measurements).
B) A smart guess the AI makes by looking at patterns in its training data.
C) Favoring some things over others, which can cause unfair decisions.
D) Computers recognize patterns and make decisions without being directly programmed.
Prediction in AI is defined as _________
A smart guess the AI makes by looking at patterns in its training data.
A random output generated by the AI system.
A fixed response programmed by the developer.
A calculation based on user preferences only.
What is Bias in Artificial Intelligence (AI)?
Favoring some things over others, which can cause unfair decisions.
Information collected and given to a computer so it can learn patterns and make predictions.
Computers recognize patterns and make decisions without being directly programmed.
Information we collect about the world.
AI can be unfair if the data it was trained on was unfair.
True
False
What is Machine Learning (ML) in the context of AI?
A) Computers recognize patterns and make decisions without being directly programmed.
B) Favoring some things over others, which can cause unfair decisions.
C) Information collected and given to a computer so it can learn patterns and make predictions.
D) A smart guess the AI makes by looking at patterns in its training data.
Fill in the blank: More Data = ________ Accurate Predictions.
More
Less
Fewer
No
Why does more quality data lead to better AI predictions?
The more quality data, the better the AI predictions.
Quality data makes AI predictions worse.
Quality data has no effect on AI predictions.
Less quality data leads to better AI predictions.
Fill in the blank: An algorithm is a set of __________ instructions used to solve a problem.
step-by-step
random
vague
unorganized
Fill in the blank: Sequence is the __________ order of steps.
correct
random
reverse
approximate
In which of the following do we use algorithms?
Programming
Everyday life (recipes, directions)
Both A and B
None of the above
Sequence and algorithm are not the same.
True
False
What is a 'Prompt' in the context of AI image generation?
A) A type of image style
B) Clear instructions we give to AI to create images, text, or videos
C) A kind of AI model
D) A finished artwork
Fill in the blank: An example of a prompt is: "Create a colorful image of a ______ with flowers."
parrot
car
tree
house
Which of the following is NOT listed as an example style for AI image generation?
Futuristic
Ancient Egyptian
Anime/Avatar
Realistic
Watercolor
Key elements for prompts include which of the following?
A) Object
B) Action
C) Setting
D) Style
E) Color
What happens when you give a clear prompt to AI for image generation?
AI ignores the prompt
AI creates pictures that match the description
AI generates random images
AI asks for more information
Fill in the blank: A strong prompt is ______, detailed, and complete.
clear
confusing
vague
short
Which of the following best describes a weak prompt?
Clear and complete
Short, unclear, vague
Detailed and specific
Long and descriptive
Which of the following is an AI image generator?
Siri
Gemini
Scratch
PowerPoint
Is Siri an AI image generator?
True
False
Is Scratch an AI image generator?
True
False
Is PowerPoint an AI image generator?
True
False
What is the term for step-by-step instructions to solve a problem?
Algorithm
Variable
Function
Loop
What is the process of finding and fixing mistakes (bugs) in code called?
Debugging
Compiling
Designing
Documenting
A mistake that makes the program do something wrong is called a _______.
bug
loop
array
syntax
What is the term for breaking a big problem into smaller, manageable parts?
Decomposition
Iteration
Abstraction
Automation
