Rainer 5th Canadian Edition Exam Questions

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

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

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

b) Reasoning

c) Total cost of knowledge

d) Use of sensory experiences

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

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

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

6) Current AI systems are considered ________ AI.

a) Big

b) Small

c) Strong

d) Weak

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

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

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

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

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

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

c) Machine learning

d) Neural networking

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

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

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

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

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

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

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

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

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

c) Natural language processing

d) Speech recognition

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

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

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

22) A buyer agent is a type of ______ agent.

a) Information

b) Personal

c) Predictive

d) 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

23) A shopping bot is a type of ______ agent.

a) Information

b) Personal

c) Predictive

d) 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

24) A(n) _____________ agent constantly observes and reports on some item of interest.

a) Information

b) Personal

c) Predictive

d) 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

25) _________ agents automatically fill out forms on the web for you.

a) Information

b) Personal

c) Predictive

d) User

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

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.

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

28) Based on the Turing test, commercial AI products are far from exhibiting any significant intelligence.

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.

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.

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.

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.

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.

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.

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

35) Buyer agents and personal agents perform the same sorts of tasks.

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.

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.

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.

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.

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.

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.

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

42) What are the advantages and disadvantages of AI? Why would a business want to use AI?

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?

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?

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.

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?

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

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