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WorksheetsAI Ethics and Generative AI Worksheet
Total questions: 41
Worksheet time: 21mins
What is the definition of ethics in the context of AI?
A set of mathematical formulas for AI programming
An invisible rulebook that helps us decide what's right and wrong
Guidelines for making AI faster and more efficient
Legal requirements for AI deployment
Which of the following is NOT one of the five main ethical considerations for AI?
Privacy
Explainability
Bias
Speed
What does "explainability" refer to in AI ethics?
The ability to understand how an AI reached a conclusion
Making AI systems speak human language
The speed at which AI can process information
The cost of developing AI systems
How can bias occur in AI systems?
When AI is programmed with malicious intent
When AI learns from biased data
When AI systems become too complex
When AI is used by biased people
True or False: AI ethics is about ensuring AI is used in a fair, safe, and respectful manner.
True
False
What does "generate" mean in the context of AI?
To analyze existing data
To cause something to exist, to produce
To translate between languages
To optimize algorithms
What is generative AI?
AI that only analyzes data
AI that can create new content
AI that controls robots
AI that replaces human decision-making
Which of the following is a limitation of language models?
They always provide correct answers
They lack common sense reasoning
They are too expensive to use
They only work with English language
True or False: AI language models always generate accurate and sensible responses.
True
False
What is one reason language models might produce incorrect responses?
They generate text based on patterns, not understanding
They are intentionally programmed to be creative
They only use limited training data
They try to mimic human errors
What are AI image generation models like?
Computer artists that can make new pictures
Digital cameras that capture images
Photo editing software
Image search engines
What are the two components of a Generative Adversarial Network (GAN)?
Encoder and Decoder
Simulator and Analyzer
Generator and Discriminator
Creator and Evaluator
True or False: The generator in a GAN is trained to fool the discriminator into believing that the images it generates are real.
True
False
What type of data do image models primarily work with?
Text
Numeric data
Image data (pixels)
Sound
How can you tell an image was created by AI?
It's impossible to tell
The image will be very dark and gloomy
There will be a stamp on it that says it was made by AI
Look for parts that are either too perfect or seem unnatural
What are deep fakes?
AI-generated images with deep colors
Manipulated images/videos that seem very real but are made up
Images created using deep learning algorithms only
3D images with depth perception
What is a prompt in the context of AI?
A computer programming language
A question or instruction given to AI
A type of AI algorithm
A dataset for training AI
Why is it important to craft clear and specific prompts for AI?
It helps to make the AI smarter
It increases the chance you get accurate and useful responses
It helps the AI understand human emotions
It allows the AI to access the internet faster
What is prompt engineering?
Building physical prompts for robots
Creating effective prompts for AI tools
Engineering prompt delivery systems
Designing computer prompt interfaces
For a science exam, you need to learn about the water cycle. Which prompt is better?
Tell me about the water cycle
Could you explain the water cycle in five simple steps?
True or False: Very long prompts always lead to better AI responses.
True
False
How does AI image generation work?
By copying existing images from the internet
By learning from lots of images and combining elements
By following explicit programming rules for each image
By asking human artists for guidance
What is the primary purpose of AI in creating artwork?
To eliminate the need for human artists
To assist and enhance human creativity
To mimic famous artists exactly
To replace traditional art forms with digital art
Why might a professional artist use AI?
For inspiration to enhance their own creativity
As a starting point and add their own artistic layers
To generate art with creative prompts
All of the above
Which of the following is a tip for writing better prompts for AI image generation?
Use vague descriptions to allow AI creativity
Be specific and use descriptive language
Always use short, one-word prompts
Avoid mentioning colors or styles
What should you specify besides the main character or subject in AI-generated art?
The setting, art style, color, and texture
The date the art was created
What you would like to name the artwork
Why you want to create the artwork
What is critical thinking?
Thinking quickly about problems
Thinking carefully and deeply about an issue
Criticizing everything you encounter
Using critical software tools
Why is critical thinking important when working with AI?
AI output could be inaccurate, biased, or manipulative
AI requires complex thinking to operate
AI systems only respond to critical commands
Critical thinking makes AI work faster
What are AI hallucinations?
When AI dreams like humans do
When AI generates incorrect or strange output
When AI sees things that aren't there in images
When AI needs to sleep and reboot
Why does AI have bias in certain situations?
Because programmers intentionally add bias
Because AI learns from biased datasets
Because AI naturally prefers certain outcomes
Because bias makes AI more efficient
What should you do when you receive data from an AI?
Always trust it completely
Apply critical thinking and verify if needed
Immediately share it with others
Assume it's better than human-generated data
How are AI and machine learning related to each other?
Machine learning is a subset of AI
AI is a subset of machine learning
They are completely separate fields
Machine learning only applies to robots
Why is this type of machine learning called "supervised learning"?
Because it is trained on super difficult datasets
Because an engineer labels the dataset and corrects the model
Because the model is very young and requires constant supervision
Because an engineer watches the model as it learns
What does it mean to label a dataset?
To give each piece of data a text or numeric value that identifies it
To specify whether a dataset is useful or not
To print out each piece of data and scan it into a computer
To remove unused information in a dataset
If labeling a dataset to train an AI model to identify different types of trees, which labels would you use?
Daisy, rose, tulip, poppy, lily
Trunk, branch, twig, leaf, root
Elm, pine, spruce, redwood, oak
Grass, dirt, rock, bark, sand
What is a decision tree in machine learning?
A magical tree that makes decisions
A method of programming that helps a person grow trees
A way of determining an answer by asking many yes/no questions
An algorithm that provides random answers to questions
Why is this type of machine learning called "unsupervised learning"?
Because it doesn't require human supervision during training
Because it's easier than supervised learning
Because it works without any data
Because it supervises other AI models
What is the main goal of the clustering technique in unsupervised learning?
To predict future values
To group similar data points together
To classify data into predefined categories
To optimize algorithms for speed
What is the main goal of the association technique in unsupervised learning?
To find relationships between variables
To sort data alphabetically
To translate between languages
To generate new data points
Which of the following is an example of a clustering algorithm?
Grouping customers by purchasing behavior
Predicting house prices based on features
Classifying emails as spam or not spam
Translating text from English to Spanish
Why would an engineer use unsupervised learning on a large, unorganized dataset?
To find interesting patterns in the data
To reduce the data into a more manageable size
To organize the data automatically
All of the above
