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Rainer, Information System, Fifth Canadian Edition Testbank
Package Title: Tech Guide 4, Testbank
Course Title: Rainer IS5e
Chapter Number: Tech Guide 4
Question type: Multiple Choice
1) The ______________ test is a widely used test to determine whether a computer exhibits intelligent behavior.
a) Expert system
b) Intelligence
c) Moore
d) Turing
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
2) Strong AI is __________ and could be considered to have __________.
a) hypothetical; a soul
b) hypothetical; sentience
c) reality; a soul
d) reality; sentience
Answer: b
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
3) ___________ is a capability performed relatively better by AI than human intelligence.
a) Creativity
Rainer, Information System, Fifth Canadian Edition Testbank
b) Reasoning
c) Total cost of knowledge
d) Use of sensory experiences
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
4) _________ is a capability performed relatively better by human intelligence than AI.
a) Documentability of process and knowledge
b) Preservation of knowledge
c) Total cost of knowledge
d) Use of sensory experiences
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
5) Machine learning is still not as good as people in most cases but in some cases better than people in regard to ___________.
a) Documentability of process and knowledge
b) Duplication and dissemination of knowledge
c) Recognizing patterns and relationships
d) Use of sensory experiences
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
Rainer, Information System, Fifth Canadian Edition Testbank
6) Current AI systems are considered ________ AI.
a) Big
b) Small
c) Strong
d) Weak
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
7) IBM’s Watson is considered __________ AI.
a) Big
b) Small
c) Strong
d) Weak
Answer: d
Difficulty: Medium
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge, Comprehension, Synthesis
AACSB: Technology, Reflective Thinking
8) _____________ are computer systems that attempt to mimic human experts by applying expertise in a specific domain.
a) Expert systems
b) Intelligent agents
c) Learning machines
d) Neural networks
Answer: a
Difficulty: Easy
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Rainer, Information System, Fifth Canadian Edition Testbank
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
9) ___________ is NOT a problem associated with expert systems.
a) Automating a complex reasoning process
b) Liability
c) Making recommendations
d) Transferring knowledge from the human to the system
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
10) ______________ is the ability to accurately perform new, unseen tasks, built on known properties learned from training or historic data that are labeled.
a) Computer visioning
b) Deep learning
c) Machine learning
d) Neural networking
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
11) ______________ helps predict fraud.
a) Computer visioning
b) Deep learning
Rainer, Information System, Fifth Canadian Edition Testbank
c) Machine learning
d) Neural networking
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
12) ___________ is a subset of machine learning where the system discovers new patterns without being exposed to labeled historical or training data.
a) Computer visioning
b) Deep learning
c) Long learning
d) Neural networking
Answer: b
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
13) ___________ is NOT an example of deep learning.
a) Customer relationship management
b) Identifying cross-selling opportunities
c) Natural language processing
d) Speech recognition
Answer: b
Difficulty: Hard
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
Rainer, Information System, Fifth Canadian Edition Testbank
14) A(n) _______________ is a set of CPUs which work in parallel in an attempt to simulate the way the human brain works, although in greatly simplified form.
a) Expert system
b) Intelligent agent
c) Learning machine
d) Neural network
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
15) _____________ is the ability of information systems to identify objects, scenes, and activities in images.
a) Computer vision
b) Natural image processing
c) Natural language processing
d) Speech recognition
Answer: a
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective: PI5.3
Bloomcode: Knowledge
AACSB: Technology
16) Facebook’s facial recognition is an example of _________.
a) Computer vision
b) Natural image processing
c) Natural language processing
d) Speech recognition
Answer: a
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Rainer, Information System, Fifth Canadian Edition Testbank
Difficulty: Medium
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective: PI5.3
Bloomcode: Knowledge
AACSB: Technology
17) ____________ is the ability of information systems to work with text the way that humans do.
a) Computer vision
b) Computer texting
c) Natural language processing
d) Speech recognition
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
18) Google’s translation app uses __________.
a) Computer vision
b) Computer texting
c) Natural language processing
d) Speech recognition
Answer: c
Difficulty: Medium
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
19) ___________ focuses on automatically and accurately transcribing human speech.
a) Computer transcription
b) Computer vision
Rainer, Information System, Fifth Canadian Edition Testbank
c) Natural language processing
d) Speech recognition
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
20) A(n) _________________ agent is a software program that assists you, or acts on your behalf, in performing repetitive computer-related tasks.
a) Information
b) Seller
c) Smart
d) Stakeholder
Answer: a
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
21) A(n) __________ agent searches for information and displays it to users.
a) Information
b) Personal c) Predictive
d) User
Answer: a
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
Rainer, Information System, Fifth Canadian Edition Testbank
22) A buyer agent is a type of ______ agent.
a) Information
b) Personal
c) Predictive
d) User
Answer: a
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
23) A shopping bot is a type of ______ agent.
a) Information
b) Personal
c) Predictive
d) User
Answer: a
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
24) A(n) _____________ agent constantly observes and reports on some item of interest.
a) Information
b) Personal
c) Predictive
d) User
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
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Rainer, Information System, Fifth Canadian Edition Testbank
AACSB: Technology
25) _________ agents automatically fill out forms on the web for you.
a) Information
b) Personal
c) Predictive
d) User
Answer: d
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective: PI5.3
Bloomcode: Knowledge
AACSB: Technology
26) A(n) __________ agent is NOT a type of intelligent agent.
a) Buyer
b) Personal
c) Smart
d) User
Answer: c
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
Question type: True/False:
27) The ultimate goal of AI is to build machines that replace human intelligence.
Answer: False
Difficulty: Medium
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Rainer, Information System, Fifth Canadian Edition Testbank
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
28) Based on the Turing test, commercial AI products are far from exhibiting any significant intelligence.
Answer: True
Difficulty: Medium
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
29) If a computer can perform a useful and specific function that once required human intelligence to perform and does so at human levels or better, this is considered weak AI.
Answer: True
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
30) Current AI systems are considered weak AI.
Answer: True
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
31) The advent of AI always diminishes the performance of humans because it gives them the
ability to be lazy.
Rainer, Information System, Fifth Canadian Edition Testbank
Answer: False
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
32) Expert systems always replace human decision makers.
Answer: False
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
33) Machine learning is a subset of deep learning.
Answer: False
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
34) Machine learning is used to detect fraud.
Answer: True
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
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Rainer, Information System, Fifth Canadian Edition Testbank
35) Buyer agents and personal agents perform the same sorts of tasks.
Answer: False
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
36) A buyer agent is also called a shopping bot.
Answer: True
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
Question type: Fill-in-the-Blank:
37) ________________________________________ is the theory and development of information systems able to perform tasks that normally require human intelligence.
Answer: Artificial intelligence or AI
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge
AACSB: Technology
38) ________________________ are computer systems that attempt to mimic human experts
by applying expertise in a specific domain.
Answer: Expert systems
Rainer, Information System, Fifth Canadian Edition Testbank
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge
AACSB: Technology
39) A(n) _________________________ agent is a software program that assists you, or acts on your behalf, in performing repetitive computer-related tasks.
Answer: intelligent
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge
AACSB: Technology
40) A(n) ____________________ agent helps customers find the products and services they need on a web site.
Answer: buyer
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.Bloomcode: Knowledge
AACSB: Technology
41) ________________ agents are also called personal agents.
Answer: User
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.Bloomcode: Knowledge
AACSB: Technology
Question type: Essay
Rainer, Information System, Fifth Canadian Edition Testbank
42) What are the advantages and disadvantages of AI? Why would a business want to use AI?
Answer: Advantages: may increase the performance of some people because they want to compete better with computers, permanent preservation of knowledge, easy/fast/inexpensive supplication and dissemination of knowledge in a computer, consistent and thorough total cost of knowledge, fairly easy/inexpensive documentability of process and knowledge
Disadvantages: privacy, security, loss of jobs, low/uninspired creativity, limited use of sensory experiences, not always great at recognizing patterns and relationships, reasoning only in narrow/focused/stable domains
Business – replace simple human tasks with a cheap computer
Difficulty: Easy
Section Reference 1: TG 4.1 Introduction to Artificial Intelligence
Learning Objective 1: Explain the potential value and the potential limitations of artificial intelligence.
Bloomcode: Knowledge, Comprehension, Application
AACSB: Technology, Reflective Thinking
43) What are some of the barriers to using expert systems? Why may the CEO position be hard to replace with an expert system?
Answer: Transferring domain expertise from human experts to the expert system can be difficult because humans cannot always explain how they know and what they know (CEO’s may not be able to communicate their instincts in regard to how they react to competitors or customer demand)
Automating the process may not be possible if the process is too complex or too vague or if the process requires too many rules (the CEO role is very complex particularly for large companies in regard to managing all the different functional areas…there are too many variables to consider for every decision)
Potential liability if there is a problem (for CEOs of public companies, stockholders need someone to “blame” if they lose lots of money)
Difficulty: Hard
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge, Comprehension, Application, Analysis, Synthesis, Evaluation
AACSB: Technology, Analytic, Reflective Thinking
44) What AI technology helps prevent fraud? How does it detect fraud? How is this useful to you?
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Rainer, Information System, Fifth Canadian Edition Testbank
Answer: Machine and deep learning – it looks for unusual patterns in spending behavior either use historical data (machine) or not (deep)
Useful – can trust credit card information won’t get stolen (although credit card companies assume all the costs, it is still a pain to get new credit cards)
Difficulty: Easy
Section Reference 1: TG 4.2 Artificial Intelligence Technologies
Learning Objective 1: Provide use case examples of expert systems, machine learning systems, deep learning systems, and neural networks.
Bloomcode: Knowledge, Comprehension, Application
AACSB: Technology, Reflective Thinking
45) List and describe the three types of intelligent agents. Provide an example of each.
Answer: Information agent – search for information and display it to users; a buyer agent or shopping bot is one type that helps customers find the product and services they need on a web site; example = IBM using IB Watson to help answer customer questions, ANZ using IBM Watson to ask financial planning questions, Amazon.com displaying list of books, FERRET to find employment information etc.
Predictive agent – constantly observe and report on some item of interest; example = Allstate to monitor agent computers, monitor prices changes for airlines etc., monitor stock prices
User agent – also called personal agents that take action on your behalf; example = check e-
mail, sort rules, automatically fill out forms on the web for you
Difficulty: Easy
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge, Comprehension
AACSB: Technology
46) List and describe the three types of intelligent agents. What intelligent agents do you use
and how?
Answer:
Information agent – search for information and display it to users; a buyer agent or shopping bot is one type that helps customers find the product and services they need on a web site
Predictive agent – constantly observe and report on some item of interest
User agent – also called personal agents that take action on your behalf
Student piece – if they use Amazon.com, they use information agents through the “recommended for you” section; if they own stock, they may use predictive agents; if they fly or use eBay, they may use predictive agents to monitor price changes; if they use Gmail and star any e-mails or have any kind of sorting rules in place, they would use a user agent
Rainer, Information System, Fifth Canadian Edition Testbank
Difficulty: Hard
Section Reference 1: TG 4.3 Artificial Intelligence Applications
Learning Objective 1: Provide use case examples of computer vision, natural language processing, robotics, image recognition, and intelligent agents.
Bloomcode: Knowledge, Comprehension, Application, Analysis
AACSB: Technology, Analytic, Reflective Thinking