ACCG822: The Dark Side of Ethical Robots Business Report

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This business report delves into the ethical implications of robots and artificial intelligence (AI) in various business contexts. It examines the 'dark side' of ethical robots, focusing on the ethical problems associated with their design, deployment, and decision-making processes. The report discusses the risks for businesses and society, including privacy and security concerns, potential for human manipulation, and the impact on employment and social structures. It explores ethical issues around robots, such as data security, human rights, employee retention, and environmental regulations. The report also includes a reflection on the future of robotics if ethical considerations are integrated into their development. The report also provides a diagram illustrating the making of an ethical robot and how to align situational ethics with the action plan of the robot. It emphasizes the importance of addressing these ethical concerns to ensure responsible and sustainable AI implementation.
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Running head: THE DARK SIDE OF ETHICAL ROBOTS
The dark side of ethical robots
Name of the Student
Name of the University
Author Note:
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1THE DARK SIDE OF ETHICAL ROBOTS
Table of Contents
1. Introduction..................................................................................................................................2
a. Ethical problem........................................................................................................................2
b. Risks for businesses and society..............................................................................................2
c. Ethical issues around robots.....................................................................................................3
d. Ethical issues around robots....................................................................................................4
2. Reflection.....................................................................................................................................5
Description...................................................................................................................................5
Interpretation................................................................................................................................6
3. Future of robotics.........................................................................................................................6
4. Reference.....................................................................................................................................7
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1. Introduction
The notable determination of this business report is to focus on the dark side of ethical
robots. The business report will be highlighting the ethical implication of the IT organizations
which contribute to the development of different types of robots and automated systems. The
risks associated with the artificial intelligent systems and the risk associated with the machine
learning systems will be discussed in a professional manner in this business report (Ohrimenko
et al. 2016). This business report will be focusing on the ethical issues associated with the robot
and the automated systems which are implemented for different business functions in a working
environment (McDaniel, Papernot. and Celik 2016). The usability of the robots considering their
ethical implications will be discussed in the reflection part of this business report. This business
report will focus on the detailed description of the future of robots if the ethical insinuations are
assimilated into it. The following unit of the paper will be presenting the ethical issues associated
with the robots which are used in our society as well as in business organizations.
a. Ethical problem
The designing part of the robots should be done in such a way so that it follows all the
social protocols of our society and it justifies its plan of action and choices which are made by
the robots in any given circumstances. The exposure of the location settings by the robots is also
a significant concern for the users of robots in our society as privacy and security of the users are
breached as a result of the exposure. The deployment of the robots is the other ethical
consideration associated with the use of the robots which are used in our society (Libbrecht and
Noble 2015). Evaluation of the predicted outcomes is a significant ethical consideration
associated with the robots. The probable action of the ethical robots should be managed and
controlled with the help of a response button. The paper highlights the other ethical issues
associated with the robot which is the prediction of human behavior (Ghahramani 2015). The
paper also helps in identifying ethical issues of robots in terms of the cognitive ability of the
robots as well as the aggressive approach of the robots which cannot be manually controlled by
the users. The paper successfully highlights the constraints associated with malicious activities as
the robot may or may not able to identify the threats coming from the activities of the social
engineers. The subsequent unit of the paper will be discussing the risks associated with the
robots used in the business organization as well as in our society.
b. Risks for businesses and society
There are lots of privacy and security issues associated with the use of robots in business
organizations as well as in our society. The risks associated with the application of the artificial
intelligent systems in business organizations as well as in our society will be presented in this
business report in a detailed manner (GĂ©ron 2017). The primary risk associated with the use of
the artificial intelligent system is the risk of human manipulation. The AI based systems which
are used in the business organizations are accessed by numerous stakeholders of the
organizations are very much vulnerable to issues in terms of the service provided by the AI based
system to the consumers of the business (Feurer et al. 2015). Human intervention may also have
a negative impact on the AI systems which are used in the military operations in terms of the
security settings. The improper alignment of the goals of the automated systems in the business
organization also has numerous risks associated with it in terms of the business sales and net
profitability of the business (Erickson et al. 2017). The AI-based systems which are used in the
manufacturing industries also have numerous risks associated with it such as the malfunctioning
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of the automated systems which cannot be managed by the IT professionals maintained in the
manufacturing industry (Dua and Du 2016). The AI-based system which are used in the
government offices such as the healthcare industries also have risks associated with in terms of
the usability of the systems and compatibility with the other legacy systems. The other
significant risk associated with the use of the artificial intelligence systems in our society such as
the Google bot and Siri (Apple) is the dependability of the users. The excessive use of the smart
systems which are developed from the concept of machine learning techniques and automated
systems is also a risk for our society. The tangential increase of the application of the machine
learning techniques in different types of business organizations has a direct negative effect on
our society as well in terms of the unemployment rate (Sculley et al. 2015). The other social risk
associated with the use of the machine learning techniques and artificial intelligence are the
health issues which are increasingly common in most of the user of the automated systems. The
other type of social risk associated with the use of machine learning techniques in our society is
the high energy consumption of the systems. The applications of the artificial intelligent system
in the sales and marketing department of the business organization also have serious risks
associated with it as some of the AI based systems are unable to understand the current trends
which are consumers of the industries. There are lots of security and privacy issues associated
with the use of the artificial intelligent systems which are connected to a private network such as
the ransomeware. The algorithms which are used in the artificial intelligent systems are
sometimes very much faulty in nature, as a result, it can have a negative impact on the users of
the AI systems (Butler et al. 2018). The increasing growth of automated weapons has a negative
impact on both our society as well as for the national economy (Chen et al. 2015). The entire
humanity is affected by the application of AI based weapons. The following unit of the paper
will be very much useful for the readers to understand how robots could be designed so that that
the ethical issues of the robots can be resolved.
c. Ethical issues around robots
The below diagram is very much beneficial for both the developers of the robots as well
as for the readers of this business report as it explains all the steps required for the development
of an ethical robot with adaptive specifications. The concept presented in the pictorial diagram
help in aligning the situational ethics with the action plan of the robot. The relation between the
moral dilemma and the ethical dilemma are categorized in this diagram as well (Biamonte et al.
2017). The paper suggests that situational ethics depends upon the moral dilemma algorithms
which are incorporated by the developers of the automated systems. If the moral dilemma is
matched with the plan of action of the robots then the entire algorithm is again matched with a
set of ethical considers which has to be pre-defined by the developers of the automated systems.
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Figure 1: Making of an ethical robot
(Source: Chen and Guestrin 2016)
If the dilemma is solved or matched with the appropriate action then the robot may take
all the right decisions for which they can be called as an ethical robot (Baylor et al. 2017). And if
the dilemma remains unsolved then the action may proceed to the adaptive interactions segment
where the protocols are also pre-defined by the developers of the robot. The concept which is
proposed in the above diagram can be used by most of the developers of the robots across the
world in order to remove the ethical considerations. The following unit of the paper will be
discussing the ethical issue of the robots.
d. Ethical issues around robots
There are lots of ethical issues associated with the use of the robots in both business
organizations as well as in our society which will be discussed in this section of the business
report.
ď‚· Data security in communication: There are lots of security issues regarding the use of
the robotic technology in the communication process of business organizations. There are
lots of stakeholders associated with the business organization which are managed with
the help of robotic technology and the ethical issues associated in this scenario is the
privacy of the data as there are numerous security issues conducted by the social
engineers (Baydin et al. 2018). The data security laws and the data governance laws are
different in each country of the world and the automated systems which are accessed by
more than one country have serious ethical considerations due to the different security
laws.
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ď‚· Human Rights: The protection of human rights is also one of the serious ethical issues
regarding the application of robotics technology in both business organizations as well as
in our society. The robotic technologies which are increasingly used in the nuclear power
plants, chemical industries have a negative impact on the life of the workers due to the
radiations releasing from the automated systems (Avasarala et al. 2016). The entire
working environment of the business organizations is needed to be examined critically
considering each of the stakeholders so that the human rights of the employees are
maintained.
ď‚· Employee Retention: The application of the robots in the business organization has
numerous benefits as well as concerns. The efficiency and accuracy of the automated
system are unparalleled which is the main reason many bigger technological
organizational are suspending the services which are provided by the human resources.
This ethical issue is a serious concern for our society as well for the country as well.
ď‚· Implementation: The implementation of the robotic technology in the business
organization should be entirely planned by professional IT governance team in order to
get the desired results they are looking for (Voyant et al. 2017). Any types of inefficient
plan reading the implementation of the robotic technology in the business organization
may have a direct negative effect on the productivity of the organization. This scenario
can also result in conflicts among the stakeholders of the business by introducing the
technical as well as non-technical complexities.
ď‚· Decision making capability: Most of the business organizations all over the world are
introducing the concept of the online recruitment process for the selection of professional
human resources (Al-Jarrah et al. 2015). This process are generally done with the help of
robotic technology, however, there are few flaws in the robotic technology for which the
business organization may suffer. Any inefficient or undeserving candidate may get the
job instead of a higher qualified or experienced candidate due to the limitations of the
robotic technology.
ď‚· Environmental regulations: There are lots of environmental regulations which the
business organization needs to follows to maintain the sustainable development of the
organization such as the Environment Protection of 1986. However, the application of the
machine learning system in the working environment of those business organizations can
result in the violation of these environmental regulations as they do not follow the
protocols which are mentioned in the regulations (Abadi et al. 2016). In order to deal
with this issue it can be said that the ethical implication of the robotic technology has to
be fully understood by each of the stakeholders of the business (Witten et al. 2016). It can
be also said that the security protocols of the business organizations are needed to be
revised frequently so that it can deal with issues such as the maintenance of the
environmental regulations. The ensuing unit of the paper will be discussing the reflective
part of the business report.
2. Reflection
Description
According to me, there are lots of ethical issues associated with the use of robots in both
our society as well as in the business organizations. I think that the implementation of robotic
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technology should be entirely based on the IT governance plan. The ensuing segment of the
paper is to highlight the interpretation of the description.
Interpretation
According to me, the increasing use of robotic technology has both positive as well as
negative impacts on our society as well as in our business organization. I believe that the
developers of the robotic technology should be incorporating the concept which was presented in
the above section of this business report as that framework can be very much useful to minimize
the ethical issues associated with the robots which are increasingly used in the industries. I
believe we all have already known about the ethical considerations of the robots, I think that the
robots which are under development now should be considering all the protocols of adaptive
interaction so that the ethical issues of the robots are minimized. I believe that the extensive
development in the field of Information Technology has resulted in the growth of numerous
robotic technology which is extensively used in manufacturing industries as a result of the
exposure of these robotic technologies the employees or the stakeholders associated with the
technology are sometimes affected by health hazards such as obesity. There are lots of
compatibility issues associated with the use of robotic technology in business organizations.
There are lots of constraints associated with the use of the robotic technology such as huge initial
investments which are required from the primary shareholders of the business organizations who
want to incorporate a robotic technology in their working IT to optimize the business functions.
The consequent segment of the paper will be very much important to understand the outcome of
using machine learning system and artificial intelligence in business organizations as well as in
our society.
3. Future of robotics
The future of robotics is mostly in the hand of the developers as better quality designs are
needed so that the efficiency of the robots are further enhanced. IT governance plan can be very
much important for the implementation of robotic technology in complex business organizations.
The business functions in big industries such as the accounts and finance department, sales and
marketing department, human resource management, operations and customer relationship can
be more optimized due to the application of the machine learning systems and artificial
intelligent systems. Considering the application of the AI based system in our daily life it can be
said that these technologies are very much useful for the investigative departments of the city,
any kinds of fraudulent activities can be detected using the robots and machine learning systems.
The customer service departments of the major telecommunication organizations can also hugely
benefitted due to the use of robotic technology. Over the years, the implementation of Artificial
Intelligence will be increasing in computer games. Predictive purchasing of e-commerce
organizations will be also using the concept of artificial intelligence. The application of artificial
intelligence will also increase in the cloud based technologies in the coming years.
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4. Reference
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving,
G., Isard, M. and Kudlur, M., 2016. Tensorflow: A system for large-scale machine learning. In
12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 16) (pp.
265-283).
Al-Jarrah, O.Y., Yoo, P.D., Muhaidat, S., Karagiannidis, G.K. and Taha, K., 2015. Efficient
machine learning for big data: A review. Big Data Research, 2(3), pp.87-93.
Avasarala, B.R., Day, J.C. and Steiner, D., Northrop Grumman Systems Corp, 2016. System and
method for automated machine-learning, zero-day malware detection. U.S. Patent 9,292,688.
Baydin, A.G., Pearlmutter, B.A., Radul, A.A. and Siskind, J.M., 2018. Automatic differentiation
in machine learning: a survey. Journal of Marchine Learning Research, 18, pp.1-43.
Baylor, D., Breck, E., Cheng, H.T., Fiedel, N., Foo, C.Y., Haque, Z., Haykal, S., Ispir, M., Jain,
V., Koc, L. and Koo, C.Y., 2017, August. Tfx: A tensorflow-based production-scale machine
learning platform. In Proceedings of the 23rd ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (pp. 1387-1395). ACM.
Biamonte, J., Wittek, P., Pancotti, N., Rebentrost, P., Wiebe, N. and Lloyd, S., 2017. Quantum
machine learning. Nature, 549(7671), p.195.
Butler, K.T., Davies, D.W., Cartwright, H., Isayev, O. and Walsh, A., 2018. Machine learning
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Libbrecht, M.W. and Noble, W.S., 2015. Machine learning applications in genetics and
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tools and techniques. Morgan Kaufmann.
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