Integration of Artificial Intelligence into Organizations

The essay discusses why a number of employees are fearing about the replacement of their jobs due to the huge integration of Artificial Intelligence in several organizations and how this integration also brings a lot of threats as well. As this integration brings with it a number of threats along with it, it is very much needed to be handled properly by the managers. Artificial Intelligence, which is also known as machine intelligence, is mostly explained with the help of machines while contrasting the natural knowledge which is displayed by humans as well as other animals.

Running head: INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO ORGANIZATIONS
INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO ORGANIZATIONS
Name of the Student
Name of the Organization
Author Note

1INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO ORGANIZATIONS
The essay discusses why a number of employees are fearing about the replacement of
their jobs due to the huge integration of Artificial Intelligence in several organizations and how
this integration also brings a lot of threats as well. As this integration brings with it a number of
threats along with it, it is very much needed to be handled properly by the managers. Artificial
Intelligence, which is also known as machine intelligence, is mostly explained with the help of
machines while contrasting the natural knowledge which is displayed by humans as well as other
animals. In a newspaper article about AI, Griffith (2019) explains that Australian business is
adopting the technology of artificial intelligence widely even though more than about two third
of the employees are hearing about the fact that it is going to replace their jobs (Griffith, 2019).
A majority of the organisations have started off using Artificial intelligence for automating the
inefficient processes which once existed. This newspaper article also says that research has been
identified that security as well privacy are seen to have been forming a huge barrier in allowing
the enterprises to reach the full potential of AI. It has brought a rising threat of breaches of data
along with it. The science of computer defines AI as a study of all the intelligent agents which
involve any device perceiving the environment and take actions which increase the chance of
achieving goals successfully (Pan, 2016). It can also be defined as the system’s capability of
correctly interpreting external data, learning from such type of data and for using all the
learnings for achieving the goals which are specified with the help of flexible adaption.
Recent research by experts show that artificial intelligence is seen to have grown enough
in penetrating several organisations around the world and for a good reason. AI investment is
growing and coming increasingly which are coming from organisations outside the space of
technology. The success stories of AI are becoming diverse to a great extent, but there are also a
number of security issues which are seen to be associated with it. A survey has been found which

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shows that about three-quarters of organisations are planning to build a team comprising of
several professionals of AI (CloudMoyo 2019). But it has been come to know that there is a
massive scarcity of the researchers who are AI-qualified. This gap in the skills has been holding
the business of the country backwards.
Paul Allen said that “The promise of artificial intelligence and computer science
generally vastly outweighs the impact it could have on some jobs in the same way that, while the
invention of the aeroplane negatively affected the railroad industry, it opened a much wider door
to human progress" (Samoson, Donnet & Daft, 2018). AI is radically going to alter the process of
doing work, and by whom it is being done, the better impact is that this technology will
complement the capabilities of human rather than replacing them. Most of the companies are
using artificial intelligence for automating the processes. It is seen that those who deploy it
mainly for displacing the employees will only notice gains in productivity which is short term.
Recent research have shown that in about thousands of companies, there are significant
improvements in performance just when both humans, as well as machines, work together
collaboratively.
Despite all the positive influences which activities supported by AI have on a specific
business, scholars have noticed that there are certain challenges which the business organizations
have to face due to the integration AI in them (Mohit Joshi, 2019). The challenges which are
mostly faced include the gap in skills, legacy infrastructure, dilemmas which are ethical,
abundance of data and several concerns which are related to budget. There is a lack of
professionals which are well trained. The deployment of AI is seen to have been taking a lot of
time, resources as well as budget and due to this the integration of Artificial Intelligence in small
businesses has become very difficult.

3INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO ORGANIZATIONS
Other research indicates that there is a great progress in artificial intelligence in future
(Müller & Bostrom, 2016). It is noticed that in some of the quarters, a considerable concern
related to machine’s high levelled intelligence and AI which is considered as super intelligent is
growing within some few decades and this brings with it all the significant humanity risks. It has
been made clear and clarified what the actual opinion is and what probability the experts who are
the best are recently assigning to the machine intelligence coming up which is highly levelled.
There are also several risks which are also coming up with that development.
Technology is heading towards artificial intelligence 2.0 (Pan, 2016). Due to the Internet
popularisation to a great extent, the emergence of the concept of big data, sensor network
permeation, data fusion and cyberspace, the environment of information based on the recent
development of AI has been altered profoundly. AI faces several adjustments which are very
important with full breakthroughs as soon as artificial intelligence enters a brand new stage
which is known as AI 2.0. The history of the development of AI past sixty years is to be known
and analyse the environment externally by promoting the AI 2.0 formation along with the
alternation in aims. The starting of this technology and the main concept behind the development
of the technology of AI 2.0 is very much essential to be implemented. It has been seen that there
are a number of issues related to the implementation of AI in organizations due to the incoming
of artificial intelligence 2.0. Lack of technical knowledge and high cost are considered as some
of the issues which are related to the integration of AI (CloudMoyo, 2019). Acquisition of data
as well as storage are considered to be the biggest problems seen in most of the organizations.
From a management perspective, there is a lack of responsibility as well and workforce is also
very much expensive. AI and deep solutions of learning needs a huge levelled degree of the
computation of speeds offered by the mostly the high end processors. An application AI and the

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governance if data can cause legal challenges for the company as well. Problems like breaches of
data can be considered as a consequence of a poor governance of data.
Apart from several problems and challenges related to the integration of AI in
organizations there are a variety of applications in different organizations. There are several
applications of artificial intelligence in intelligent manufacturing (Li et al., 2017). Depending
upon the specific research into several forms of the technology of Artificial Intelligence in the
manufacturing industry in current times, the faster improvement of the leading techniques is
analysed in the Internet plus AI era which is new. New models are proposed and there are several
forms of smart manufacturing and the intelligent system architecture of production depending
upon the AI technology integration with several communications of information, production and
technology of product which is related. On the perspective of the application technology of
intelligent manufacturing, the recent development in smart construction is discussed. Based upon
all these applications, most of the employees are fearing about their existence in the work field.
There is one article which describes clearly gives a briefing which consists of a
conclusion of a number of issues which the makers of policy as well as the leaders of business
requires for addressing to soften all the transitions which are disruptive likely to be
accompanying this adoption (McKinsey & Company, 2019). Business must stand to benefit from
artificial intelligence and it will have an impact on work which will be profound. The time of AI
has come finally but there is some more progress which is required. AI is seen to have been
bringing with it all kinds of benefits as well as challenges which are societal.
On the other hand, it has been noticed that there are several trends, perspectives as well as
the prospects of machine learning (Jordan & Mitchell, 2015). Machine learning mostly addresses

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a particular question about how to build a computer system, which can improve through
experience automatically. It is considered to be a faster developing technical field which lies at
the link of statistics and computer science. The adoption of data-intensive methods of machine
learning is found throughout science, as well as technology, thus leading to even a more decision
making which is based on evidence across life walks involving health care, policing, education
and marketing. Some researches even describes about the several problems or issues which arise
due to the introduction of machine learning and its data sensitive methods.
It has been noticed that there is an increasing adoption of artificial intelligence across a
number of industries. Oracle has been to have been using machine learning for making app as
well as integrating data. This is not the only company who is doing this. IBM is also seen to have
been building capabilities of AI (Roe, 2019). Microsoft, Amazon as well as Google are also
investing heavily for integrating artificial intelligence in these organizations. Tractia, which is a
firm based on market intelligence has its main focus on the interaction of human with that of
technology released research into the AI market’s value over the upcoming years. The report has
pointed out the tide of the adoption of AI which has been rising across several industries will be
driving huge growth in the next decade with potential revenues of the software of AI.
It can be concluded Artificial intelligence is awakening fear as well as enthusiasm in
exactly equal measures. Even there are much more evidences supporting the integration of AI in
organizations which brings with it a number of threats, challenges as well as issues which are be
dealt with properly. A number of applications of AI brings along with it several risks which are
incalculable. It is very much important that goals of artificial intelligence are set and a lot of
empirical work is to be done for gaining a better understanding of the systems of goal are to be
built. If AI is seen to have been contributing for a huge success in business by enabling better

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understanding of the customers and along with a huge response of needs, then the uptake in the
world of work is likely to be continued. Rather than humans being replaced, it is actually the
combination of both humans as well as AI which will bring the greatest benefits to the world of
working. Therefore, it can be finally concluded that depending upon the interaction of AI and
human, the role in the future work world will be influenced. If the values of humans are
articulated very carefully as well as embedded into the systems of AI, then all the outcomes
which are unacceptable may be prevented. Artificial intelligence will be continuing to change the
working world and all the workers will be required to engage in a learning which will be long-
termed by developing skills and changing of jobs.

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