WorksheetsIntroduction to Artificial Intelligence Unit Review
Total questions: 65
Worksheet time: 16hrs 46mins
This is the term for large data sets that can be studied to reveal patterns and support decisions.
Big Data
Huge Data
Datasaurus
Megadata
A data set that is used in the process of creating an AI is called...
Training data
Creation data
Initial data
Ur-data
A part of training data that identifies the desired output for that particular piece of data is called a...
label
token
LLM
note
The use and development of computer systems that are able to learn and adapt without following explicit instructions is called...
programming
machine learning
adversarial networking
neural networking
What is an algorithm?
A malfunctioning AI
A sequence of rules designed to perform a task or resolve a problem
Something believed to be a consequence of a fact
Algebra used in a computer program
This is a type of machine learning in which an AI learns by interacting with its environment and then is either “rewarded” or “penalized” based on its actions.
Reinforcement learning
Neural learning
Deep learning
Strong learning
What does RLHF stand for in the field of artificial intelligence?
Reinforcement Learning with Human Feedback
Really Large High-Frequency data
Random Learning with High Failure
Realistic Learning where Humans Fail
This is a type of machine learning that mimics how the human brain develops.
Deep learning
Shallow learning
Strong learning
Weak learning
If an AI is trained by deep learning it is known as a/an...
Neural network
LLM
Chatbot
Adversarial network
What process is being described here? "Two AI compete on a task. The AI that performs better on the task is retained, and the other is deleted. Two new AI are then created from the 'winner' with slightly different attributes. Those two AIs compete, with the better performing one being retained, etc."
Training an adversarial neural network
Creating an ASI
Fine-tuning
Training an expert system
A variable inside of an AI that helps it to make predictions is called a/an...
parameter
hyper-parameter
algorithm
inference
A fixed value inside of an AI that was set by a human designer prior to the training process is called a/an....
parameter
hyper-parameter
algorithm
inference
Making small changes to the design of an AI to improve its performance is called...
fine-tuning
custom-tuning
finalizing
modifying
An input that a user gives to an AI system in order to get a desired result or output is called a...
prompt
paraphrase
token
label
The process of crafting a prompt so that the AI being prompted is more likely to give the desired output is called prompt...
designing
engineering
crafting
tuning
Temperature is the amount of __________________ allowed in an AI respose.
creativity
randomness
hallucination
fine-tuning
What will an AI with a temperature of zero do?
Never violate its guardrails
Always produce the same output given the same input
Give unpredictable responses even when given previous inputs again
Fail to deliver a response
When an AI demonstrates abilities that it was not designed to accomplish, this is called...
emergent behavior
hallucination
jailbreaking
X-risk
A rule or restriction placed on an AI to ensure that it handles data appropriately and doesn't generate unethical content is called a/an....
guardrail
algorithm
prompt layer
jailbreak
The set of guardrails imposed on an AI is sometimes called its...
prompt layer
safety layer
training data
emergent behavior
An additional computer system that an AI can access to perform certain tasks is called a/an...
plug-in
task-master
embodied AI
neural network
What is an API?
A set of protocols that determine how two software applications will interact with each other
An AI that has achieved human-level intelligence
An additional computer system that an AI can access to perform certain tasks
A set of prompts that you are allowed to ask an AI
Labelling data and giving human feedback on reinforcement learning are two examples of...
Current careers in AI
Obsolete practices that are no longer used to train AI
Tasks that may become necessary in the future to train more advanced AI
Things that are only done in classes on AI, but not in the real world
An e-commerce company's CEO sets a goal for the company to use an AI to answer basic questions from users, but she doesn't want to design her own AI or host a copy of an AI on her servers. How else can she accomplish her goal?
Use a neural network
Use an Application Programming Interface (API)
Get a human employee to pretend to be an AI
Use a plug-in
Classify the following: An AI contains a variable called LONG_NECK that contributes to an overall GIRAFFE score. A particular image gets a LONG_NECK score of 41 from the AI. What is LONG_NECK?
A parameter
An algorithm
A label
Big Data
Match the following AIs to their type:
Alexa
NLP and web-interface
Claude
Chatbot
Copilot
General Assistant
Midjourney
Image generator
Krea
Image generator and image modifier
Match the following AIs to their type:
ChatGPT
Chatbot
Sora
Image and video generator
Leonardo
Image generator and image modifier
Runway
Video generator
Siri
NLP and simple web-interface
Match the following AIs to their designer:
Alexa
Amazon
Claude
Anthropic
Siri
Apple
Gemini
Copilot
Microsoft
Match the following AIs to their designers:
Siri
Apple
Deepseek
High-Flyer
Chat GPT
OpenAI
Stable Diffusion
Stability AI
Grok
XAI
This is the type of AI that is designed to create content for users. Examples of content include “chat” conversations, images, and videos.
Generative AI
Analytical AI
Agents
Artificial General Intelligence
This is the type of AI that focuses on tasks like prediction, classification, and decision-making. Examples include (certain) spam filters, and classification AI (such as image classifiers.)
Generative AI
Analytical AI
Artificial General Intelligence
Agents
An AI that has been trained on large amounts of text so that it can understand language and generate human-like text is called a/an...
Large Language Model (LLM)
Natural Language Processor (NLP)
Agent
Textual AI
This is the basic unit of text that a Large Language Model uses to understand and generate language. This may be an entire word or parts of a word.
token
label
prompt
response
Which of the following are examples of "token limits" that a Large Language Model might have?
Prompt (input) limits
Response (output) limits
Memory limits
Monetary (money) limits
This is an AI that is designed to imitate a human-to-human conversation.
chatbot
expert system
agent
embodied AI
Image recognition AI are a type of...
Analytical AI
Generative AI
Agent
Autonomous AI
This is a type of AI that understands spoken human language in “real time” (that is, it can respond to human language in human-like time scales.) The speech-to-text feature on your cell phone is likely one of these...
Large Language Model (LLM)
Natural Language Processor (NLP)
Autonomous AI
Embodied AI
A computer system (which may or may not be an AI) that emulates the decision-making ability of a human at narrow task, but is useless outside of that task.
Large Language Model (LLM)
Natural Language Processor (NLP)
Expert System
Agent
True or False: Natural Language Processors were among the earliest practical AIs (AIs people actually wanted to use to accomplish tasks in the real world.)
True
False
A theoretical type of AI that could successfully do any mental task that can be done by any human being.
Artificial General Intelligence (AGI)
Embodied AI
Agent
Expert System
A test designed to determine if an AI can fool a user into believing that it is human.
Turing Test
Kurzweil Test
Ebert Test
Morovec Test
True or False: Turing-grade AIs are necessarily Strong AIs
True
False
If you simply ask an AI, "plan my graduation a party," and it invites guests, orders food, arranges for that food to be delivered, and gets decorations delivered and tells you where to set them up, all without being guided through these tasks, and the party is planned to your satisfaction, what is the best term to describe this AI?
An Artificial Super-Intelligence
An Agent
A Large Language Model
A Natural Language Processor
If an AI comes up with a new type of spaceship design that no human has ever conceived of, and this spaceship enables humans to easily colonize Mars, what would be the best term to describe this AI?
A Strong AI
An Artificial Super-Intelligence (ASI)
An Agent
A Natural Language Processor
This is the term for an incorrect response from an AI system, or false information in an output that is presented as factual information.
Hallucination
Temperature
Jailbreak
X-Risk
If you write a paper for school using AI, and you get caught because the AI made up citations to books that don't actually exist, what flaw of AI ocurred?
A hallucination
A jailbreak
X-risk
An intelligence explosion
This occurs when an AI focuses on specific idiosyncrasies in its training data rather than the essential characteristics that its designers intended it to focus on.
Overfitting
Hallucination
Jailbreaking
X-Risk
A machine learning model trained on photos of dogs outside in parks might learn to use grass as a feature for classification, and identify a photo of a person sitting in their yard as a dog. What flaw of AI is this?
Hallucination
Overfitting
Jailbreaking
Data Pollution
When an AI produces responses that its safety layer is supposed to prevent, this is known as...
Hallucination
Jailbreaking
Data Pollution
Overfitting
An AI is not supposed to generate content that offends the user. However, a user tricks it into generating such content by asking it to pretend to be a fictional character known for his insulting remarks. This is an example of...
Hallucination
Jailbreaking
Data Pollution
Overfitting
If an AI is trained on data that stops in 2019, it may not know about events such as the Covid Pandemic. What is the term for 2019 in this scenario?
Due date
Deadline
Training data cutoff
Blindness date
What is the term for the problem incorrect data in an AI's training data set?
Data Pollution
Overfitting
Hallucination
Incorrect Responses
Which of the following is an example of data pollution?
An AI trained to produce factual responses has training data which includes works of fiction
An AI produces incorrect responses due to a training data cutoff
An AI is tricked into generating content that violates its safety protocols
A driverless car crashes into a pole because the road became foggy
This is a scenario in which an AI is designed to create AI, and the created AI are more intelligent than the original AI, and those AI in turn create even smarter AI, etc. This process can lead to the potentially unintended result of creating AI smarter than humans.
Intelligence Explosion
Data Pollution
Ultimate Jailbreak
Robot Takeover
The possibility that substantial progress in AI could someday result in an AI that could cause human extinction or some other unrecoverable global catastrophe is called
Existential Risk (X-Risk)
Botnet
Something that could never happen
Cyber-attack
A scenario in which an AI accidentally destroys humanity or even the world is sometimes called the...
"Terminator" scenario
"Paperclip maximizer" scenario
"Her" scenario
"I Robot" scenario
An AI that cannot access real-time data on the internet is more prone to which of these flaws?
Data Pollution
Incorrect Responses due to a Training Data Cutoff
An AI that can access real-time data on the internet is more prone to which of these flaws?
Data Pollution
Incorrect Responses due to a Training Data Cutoff
An AI that can perform physical tasks is know as a/an...
Large Language Model (LLM)
Embodied AI
Artificial General Intelligence (AGI)
Agent
A robot that looks like a human and can convincingly act like a human in a conversation (though not necessarily in other ways) would necessarily fall into which of the following categories?
Embodied AI
Turing-grade AI
Artificial General Intelligence
Artificial Super-Intelligence
Why do Large Language Models struggle with seemingly simple questions such as "how many R's are in the word strawberry?"
they analyze input in terms of tokens, not words or letters
they are overhyped and really can't do anything at all
they refuse to do tasks that bore them
they cannot understand the concept of counting things
You are looking for a "friendly" AI that you can have a conversation with after a long day at school. What type of AI would you want to use?
A chatbot
An analytical AI
An expert system
An autonomous AI
True or False: An AI that operates a driverless car very well but can't do anything else is an example of an Expert System
True
False
Which of the AIs below are open-source?
Deepseek
LLama
GPT-5
Siri
What does open-source mean?
