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Introduction to Artificial Intelligence Unit Review

Total questions: 65

Worksheet time: 16hrs 46mins

Name
Class
Date
1.

This is the term for large data sets that can be studied to reveal patterns and support decisions.

a)

Big Data

b)

Huge Data

c)

Datasaurus

d)

Megadata

2.

A data set that is used in the process of creating an AI is called...

a)

Training data

b)

Creation data

c)

Initial data

d)

Ur-data

3.

A part of training data that identifies the desired output for that particular piece of data is called a...

a)

label

b)

token

c)

LLM

d)

note

4.

The use and development of computer systems that are able to learn and adapt without following explicit instructions is called...

a)

programming

b)

machine learning

c)

adversarial networking

d)

neural networking

5.

What is an algorithm?

a)

A malfunctioning AI

b)

A sequence of rules designed to perform a task or resolve a problem

c)

Something believed to be a consequence of a fact

d)

Algebra used in a computer program

6.

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.

a)

Reinforcement learning

b)

Neural learning

c)

Deep learning

d)

Strong learning

7.

What does RLHF stand for in the field of artificial intelligence?

a)

Reinforcement Learning with Human Feedback

b)

Really Large High-Frequency data

c)

Random Learning with High Failure

d)

Realistic Learning where Humans Fail

8.

This is a type of machine learning that mimics how the human brain develops.

a)

Deep learning

b)

Shallow learning

c)

Strong learning

d)

Weak learning

9.

If an AI is trained by deep learning it is known as a/an...

a)

Neural network

b)

LLM

c)

Chatbot

d)

Adversarial network

10.

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."

a)

Training an adversarial neural network

b)

Creating an ASI

c)

Fine-tuning

d)

Training an expert system

11.

A variable inside of an AI that helps it to make predictions is called a/an...

a)

parameter

b)

hyper-parameter

c)

algorithm

d)

inference

12.

A fixed value inside of an AI that was set by a human designer prior to the training process is called a/an....

a)

parameter

b)

hyper-parameter

c)

algorithm

d)

inference

13.

Making small changes to the design of an AI to improve its performance is called...

a)

fine-tuning

b)

custom-tuning

c)

finalizing

d)

modifying

14.

An input that a user gives to an AI system in order to get a desired result or output is called a...

a)

prompt

b)

paraphrase

c)

token

d)

label

15.

The process of crafting a prompt so that the AI being prompted is more likely to give the desired output is called prompt...

a)

designing

b)

engineering

c)

crafting

d)

tuning

16.

Temperature is the amount of __________________ allowed in an AI respose.

a)

creativity

b)

randomness

c)

hallucination

d)

fine-tuning

17.

What will an AI with a temperature of zero do?

a)

Never violate its guardrails

b)

Always produce the same output given the same input

c)

Give unpredictable responses even when given previous inputs again

d)

Fail to deliver a response

18.

When an AI demonstrates abilities that it was not designed to accomplish, this is called...

a)

emergent behavior

b)

hallucination

c)

jailbreaking

d)

X-risk

19.

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....

a)

guardrail

b)

algorithm

c)

prompt layer

d)

jailbreak

20.

The set of guardrails imposed on an AI is sometimes called its...

a)

prompt layer

b)

safety layer

c)

training data

d)

emergent behavior

21.

An additional computer system that an AI can access to perform certain tasks is called a/an...

a)

plug-in

b)

task-master

c)

embodied AI

d)

neural network

22.

What is an API?

a)

A set of protocols that determine how two software applications will interact with each other

b)

An AI that has achieved human-level intelligence

c)

An additional computer system that an AI can access to perform certain tasks

d)

A set of prompts that you are allowed to ask an AI

23.

Labelling data and giving human feedback on reinforcement learning are two examples of...

a)

Current careers in AI

b)

Obsolete practices that are no longer used to train AI

c)

Tasks that may become necessary in the future to train more advanced AI

d)

Things that are only done in classes on AI, but not in the real world

24.

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?

a)

Use a neural network

b)

Use an Application Programming Interface (API)

c)

Get a human employee to pretend to be an AI

d)

Use a plug-in

25.

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)

A parameter

b)

An algorithm

c)

A label

d)

Big Data

26.

Match the following AIs to their type:

a)

Alexa

1.

NLP and web-interface

b)

Claude

2.

Chatbot

c)

Copilot

3.

General Assistant

d)

Midjourney

4.

Image generator

e)

Krea

5.

Image generator and image modifier

27.

Match the following AIs to their type:

a)

ChatGPT

1.

Chatbot

b)

Sora

2.

Image and video generator

c)

Leonardo

3.

Image generator and image modifier

d)

Runway

4.

Video generator

e)

Siri

5.

NLP and simple web-interface

28.

Match the following AIs to their designer:

a)

Alexa

1.

Amazon

b)

Claude

2.

Anthropic

c)

Siri

3.

Apple

d)

Gemini

4.

Google

e)

Copilot

5.

Microsoft

29.

Match the following AIs to their designers:

a)

Siri

1.

Apple

b)

Deepseek

2.

High-Flyer

c)

Chat GPT

3.

OpenAI

d)

Stable Diffusion

4.

Stability AI

e)

Grok

5.

XAI

30.

This is the type of AI that is designed to create content for users. Examples of content include “chat” conversations, images, and videos.

a)

Generative AI

b)

Analytical AI

c)

Agents

d)

Artificial General Intelligence

31.

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.)

a)

Generative AI

b)

Analytical AI

c)

Artificial General Intelligence

d)

Agents

32.

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...

a)

Large Language Model (LLM)

b)

Natural Language Processor (NLP)

c)

Agent

d)

Textual AI

33.

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.

a)

token

b)

label

c)

prompt

d)

response

34.

Which of the following are examples of "token limits" that a Large Language Model might have?

a)

Prompt (input) limits

b)

Response (output) limits

c)

Memory limits

d)

Monetary (money) limits

35.

This is an AI that is designed to imitate a human-to-human conversation.

a)

chatbot

b)

expert system

c)

agent

d)

embodied AI

36.

Image recognition AI are a type of...

a)

Analytical AI

b)

Generative AI

c)

Agent

d)

Autonomous AI

37.

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...

a)

Large Language Model (LLM)

b)

Natural Language Processor (NLP)

c)

Autonomous AI

d)

Embodied AI

38.

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.

a)

Large Language Model (LLM)

b)

Natural Language Processor (NLP)

c)

Expert System

d)

Agent

39.

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.)

a)

True

b)

False

40.

A theoretical type of AI that could successfully do any mental task that can be done by any human being.

a)

Artificial General Intelligence (AGI)

b)

Embodied AI

c)

Agent

d)

Expert System

41.

A test designed to determine if an AI can fool a user into believing that it is human.

a)

Turing Test

b)

Kurzweil Test

c)

Ebert Test

d)

Morovec Test

42.

True or False: Turing-grade AIs are necessarily Strong AIs

a)

True

b)

False

43.

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?

a)

An Artificial Super-Intelligence

b)

An Agent

c)

A Large Language Model

d)

A Natural Language Processor

44.

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)

A Strong AI

b)

An Artificial Super-Intelligence (ASI)

c)

An Agent

d)

A Natural Language Processor

45.

This is the term for an incorrect response from an AI system, or false information in an output that is presented as factual information.

a)

Hallucination

b)

Temperature

c)

Jailbreak

d)

X-Risk

46.

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)

A hallucination

b)

A jailbreak

c)

X-risk

d)

An intelligence explosion

47.

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.

a)

Overfitting

b)

Hallucination

c)

Jailbreaking

d)

X-Risk

48.

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?

a)

Hallucination

b)

Overfitting

c)

Jailbreaking

d)

Data Pollution

49.

When an AI produces responses that its safety layer is supposed to prevent, this is known as...

a)

Hallucination

b)

Jailbreaking

c)

Data Pollution

d)

Overfitting

50.

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...

a)

Hallucination

b)

Jailbreaking

c)

Data Pollution

d)

Overfitting

51.

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?

a)

Due date

b)

Deadline

c)

Training data cutoff

d)

Blindness date

52.

What is the term for the problem incorrect data in an AI's training data set?

a)

Data Pollution

b)

Overfitting

c)

Hallucination

d)

Incorrect Responses

53.

Which of the following is an example of data pollution?

a)

An AI trained to produce factual responses has training data which includes works of fiction

b)

An AI produces incorrect responses due to a training data cutoff

c)

An AI is tricked into generating content that violates its safety protocols

d)

A driverless car crashes into a pole because the road became foggy

54.

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.

a)

Intelligence Explosion

b)

Data Pollution

c)

Ultimate Jailbreak

d)

Robot Takeover

55.

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

a)

Existential Risk (X-Risk)

b)

Botnet

c)

Something that could never happen

d)

Cyber-attack

56.

A scenario in which an AI accidentally destroys humanity or even the world is sometimes called the...

a)

"Terminator" scenario

b)

"Paperclip maximizer" scenario

c)

"Her" scenario

d)

"I Robot" scenario

57.

An AI that cannot access real-time data on the internet is more prone to which of these flaws?

a)

Data Pollution

b)

Incorrect Responses due to a Training Data Cutoff

58.

An AI that can access real-time data on the internet is more prone to which of these flaws?

a)

Data Pollution

b)

Incorrect Responses due to a Training Data Cutoff

59.

An AI that can perform physical tasks is know as a/an...

a)

Large Language Model (LLM)

b)

Embodied AI

c)

Artificial General Intelligence (AGI)

d)

Agent

60.

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?

a)

Embodied AI

b)

Turing-grade AI

c)

Artificial General Intelligence

d)

Artificial Super-Intelligence

61.

Why do Large Language Models struggle with seemingly simple questions such as "how many R's are in the word strawberry?"

a)

they analyze input in terms of tokens, not words or letters

b)

they are overhyped and really can't do anything at all

c)

they refuse to do tasks that bore them

d)

they cannot understand the concept of counting things

62.

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)

A chatbot

b)

An analytical AI

c)

An expert system

d)

An autonomous AI

63.

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

a)

True

b)

False

64.

Which of the AIs below are open-source?

a)

Deepseek

b)

LLama

c)

GPT-5

d)

Siri

65.

What does open-source mean?

a)
Open-source means that software is only available for purchase.
b)
Open-source means that the source code of software is publicly accessible for anyone to use, modify, and share.
c)
Open-source refers to software that cannot be modified or shared.
d)
Open-source indicates that the source code is kept secret and private.