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Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics $8.99   Add to cart

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Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics

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Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics 1) Business problems are the problems where the research teams are willing to learn some new things from the...

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  • July 28, 2024
  • 15
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Business Intelligence, Analytics, Data Science,
and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics

1) Business problems are the problems where the research teams are willing to learn some new
things from the data and are often required to innovate a new method to solve these kinds of
problems.
Answer: FALSE
Diff: 2 Page Ref: 664

2) According to the opening vignette, simple predictive models can be better explained, and you
can define the relationship in terms of some mathematical formula.
Answer: TRUE
Diff: 2 Page Ref: 665

3) Once the models are developed, implementing business analytic systems is not a complex
undertaking.
Answer: FALSE
Diff: 2 Page Ref: 667

4) The implementation process of intelligent systems is like the generic process of other
information systems.
Answer: TRUE
Diff: 2 Page Ref: 667

5) In designing analytic systems, it must be kept in mind that the right to an individual's privacy
is not absolute.
Answer: TRUE
Diff: 2 Page Ref: 676

6) The public's right to know is not superior to the individual's right to privacy.
Answer: FALSE
Diff: 2 Page Ref: 676

7) Involvement of senior executives in analytics projects typically slows down the project and
leads to failure.
Answer: FALSE
Diff: 2 Page Ref: 668

8) A factor of success in the implementation of an AI project is integrating intelligent systems
into the workplace.
Answer: TRUE
1
Copyright © 2024 Pearson Education Ltd.

, Diff: 2 Page Ref: 669

9) As intelligent systems are implemented in an organization, managers tend to have an
increased reliance on experts and analysts as decisions are made.
Answer: FALSE
Diff: 2 Page Ref: 689
10) A common organizational change as intelligent systems are implemented is the creation of an
analytics or BI department.
Answer: TRUE
Diff: 2 Page Ref: 685

11) In terms of jobs that are at risk due to intelligent systems, a healthcare social worker would
be an example of a low-risk job.
Answer: TRUE
Diff: 2 Page Ref: 780

12) In terms of jobs that are at risk due to intelligent systems, a telemarketer would be an
example of a low-risk job.
Answer: FALSE
Diff: 2 Page Ref: 692

13) Under the idea of friendly AI, AI machines would be designed so that they will benefit
humans rather than harm them.
Answer: TRUE
Diff: 2 Page Ref: 698

14) Because Elon Musk represents a dystopian view of AI, he refuses to invest in any AI
research.
Answer: FALSE
Diff: 3 Page Ref: 697

15) Insurance underwriters are among the low at-risk occupations to lose their jobs to AI.
Answer: FALSE
Diff: 2 Page Ref: 694

16) Despite the fear, uncertainty, and panic related to job losses, many reports that AI will create.
Answer: TRUE
Diff: 2 Page Ref: 693

17) COMPAS is an AI powered tool designed to be used as a decision aid in several US courts.
Answer: TRUE
Diff: 1 Page Ref: 681

18) According to cyber-citizenship, there exist five major commandments of computer ethics.
Answer: FALSE
Diff: 2 Page Ref: 680


2
Copyright © 2024 Pearson Education Ltd.

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