BUSI2151, 2019/20: Artificial Intelligence Technology Analysis Essay

This essay provides a comprehensive analysis of artificial intelligence (AI) technology, examining its core concepts, applications, and ethical implications. It begins with a definition of AI and its relationship to machine learning, deep learning, and knowledge engineering. The discussion covers AI's role in various sectors, including healthcare, space exploration, and environmental protection, highlighting its potential to transform industries and address global challenges. The essay then delves into ethical issues associated with AI, such as job displacement, inequality, and the potential for misuse, emphasizing the need for responsible development and deployment. It concludes by summarizing the key points and reiterating the importance of addressing ethical concerns to ensure AI benefits humanity. The document provides a detailed overview of AI's capabilities and challenges, offering insights into its present and future impact.

Running head: ARTIFICIAL INTELLIGENCE TECHNOLOGY
ARTIFICIAL INTELLIGENCE TECHNOLOGY
Name of student
Name of university
Author’s note:

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Table of Contents
Introduction....................................................................................................................2
Discussion......................................................................................................................2
AI technology.............................................................................................................2
Role of AI technology................................................................................................4
Ethical issues of AI....................................................................................................6
Conclusion......................................................................................................................7
References......................................................................................................................9

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Introduction
Artificial intelligence could be described as the simulation of the processes of human
intelligence by the machines, specifically the computer systems. The particular applications
of the artificial intelligence mainly includes the expert systems, speech recognition, machine
vision as well as the natural language processing. The programming of the artificial
intelligence technology mainly emphasises on the three cognitive skills, namely the
reasoning, learning as well as the self-correction. This report intends to discuss the artificial
intelligence technology in the present times and the future state of this particular technology
for the world.
Discussion
AI technology
Artificial intelligence could be described as the sector of computer science that mainly
focusses on the development of the intelligent machines that works as well as reacts like the
humans (Russell and Norvig 2016). Majority of activities that are included in the computer
that could behave like Artificial intelligence are the speech recognition, planning, learning,
and problem solving. The deep learning field in the Artificial intelligence has allowed several
practical applications of the machine learning and with the extension of the complete sector
of Artificial intelligence. All the tasks are divided by the deep learning in particular ways that
are assisted by the machines (Li and Du 2017). The driverless cars, improved preventive
healthcare as well as the improved movie recommendations are presently some of the
advantages of using deep learning. Artificial intelligence has been considered as the present
and the future of the world. With the introduction of the deep learning, Artificial intelligence
might gain several improvements and modifications that would increase the applications of
this technology in various sectors of the world (Jackson 2019). Machine learning commonly

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is practice of the utilisation of the algorithms for parsing the data, then learn from the data as
well as determine or even predict regarding any aspect in the present world. Instead of hand-
coding of the software routines with any particular set of the instructions for accomplishing
any specific task, appropriate training is provided to the machine with the utilisation of the
large quantities of data as well as the algorithms that provides the ability of learning of
performing that task (Steels and Brooks 2018). Artificial intelligence could be described as
the sector of computer science that mainly focusses on the development of the intelligent
machines that works as well as reacts like the humans.
It has grown to be essential sector of technology industry. The research linked with
the artificial intelligence is significantly technical as well as the specialised (Szolovits 2019).
The main issues of the Artificial intelligence includes the programming of computers for any
particular traits like Reasoning, Learning, Perception, Planning, Problem solving as well as
the ability of manipulating and moving objects. The knowledge engineering is considered as
the core section of the research of artificial intelligence (Hassabis et al. 2017).
Presently, the machines are provided with the intelligence of acting as well as reacting
like the humans solely if they have significantly huge information regarding the world. The
access to the objects, properties, categories as well as the relations must be provided to the
artificial intelligence for implementing the knowledge engineering. Introducing the common
sense, power of problem-solving and reasoning in the machines has been considered to be
troublesome as well as tedious (Jennings 2018). Another core section of the artificial
intelligence technology is machine learning. Learning deprived of any kind of supervision
needs the ability of identifying the patterns in huge streams of inputs, whereas the learning
with sufficient supervision mainly includes the classification as well as the numerical
regressions.

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The problem solving, specifically in the artificial intelligence might be characterised
as the systematic search using the range of the some probable actions for reaching some of
the pre-determined solutions or goals. The methods of problem-solving divides into the
special purpose as well as common purpose (Gunning 2017). The special purpose process is
modified and developed for any particular issue as well as frequently exploits the particular
characteristics of any situation in which problem could be embedded. Several diverse issues
are presently being solved with the help of programs of artificial intelligence
(Krishnamoorthy and Rajeev 2018). While considering the concept of perception in artificial
intelligence, environment is particularly scanned by the means of several sensory organs,
artificial or even real as well as the decomposition of the scene is done into the separate
objects in several spatial relationships (Konar 2018).
Role of AI technology
It has been considered that the worldwide workforce would be significantly impacted
by the artificial intelligence technology and there are various kinds of developments expected
in the future of the world (Spiro, Bruce and Brewer 2017). Artificial intelligence could be
considered as the intelligence that is exhibited by the machine or any software for performing
any particular task that could be executed by any human commonly. With the significant
amount of data generated in the modern times, along with ubiquitous connectivity as well as
the high-performance computing, it has been considered that the ubiquitous connectivity is
going to add the new level of effectiveness as well as the sophistication to the future
technologies.
Presently, it has been observed that data is mainly streaming in the real time and it is
fuelled by booming growth of the digital devices, the social media, Internet of Things as well
as the cloud computing. This data makes the greatest dataset for efficiently training the
artificial intelligence systems. In the coming years, artificial intelligence has been considered

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to be helpful in transforming specific industries (Moravčík et al. 2017). In the modern times,
artificial intelligence is being used in majority of the sectors of the world, and it is mainly
helpful in the healthcare sector. artificial intelligence systems could be significantly helpful
for the medical physicians with delivering significantly accurate and faster treatment by the
analysis of huge amount of the clinical data such as the medical tones, demographics, the
recording from the medical devices as well as the laboratory images (Buchlak et al. 2019). As
an example, it could be observed that the systems of artificial intelligence could be helpful in
detecting the epithelial ovarian cancer in the early stages and in this stage, the disease could
be easily cured. However, in any normal procedure, it could be commonly detected or even
undetected in the later stages and the chances of treatment is significantly low in the later
stages.
In the industry of space industry, it could be considered that the algorithms of the
machine learning is being used for the health monitoring of the spacecraft, intelligent control,
navigation, as well as the object detection for the navigation. Presently the private firms are
starting to become the protagonists instead of efficiently operating as the contractor within
space industry. It has been considered in the space industry that the artificial intelligence
could be helpful in extending boundaries of the capabilities of the human as well as the help
the scientists for reaching the places that are yet to be discovered (Hamet and Tremblay
2017).
With the increasing unprecedented strain resulted from the global warming, the
natural disasters, as well as several other human activities, artificial intelligence could be
significantly helpful with ensuring the concrete steps for the improved protection of the
environment. As example, it could be considered the artificial intelligence could be
significantly helpful for the scientists with the identification as well as the protecting the
endangered animals. In the coming future, artificial intelligence could be significantly helpful

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in the reduction of greenhouse gases using the appropriate optimisation of the traffic, the
appropriate route planning of the autonomous public transport as well as the services of ride
sharing. It would have the ability of augmenting the agriculture sector with required help of
the automated collection of data as well as take the corrective action through the robots for
detecting the diseases in the crops that would lead to the eventual increase of the efficiency as
well as the reduction of the utilisation of the fertilisers as well as the pesticides. This
particular information would be significantly helpful with the protection of the reefs from
complete collapse. The productivity as well as the intelligence gains that would be delivered
by the artificial intelligence could help in unlocking the strong solutions for the pressing
challenges of the environment such as the greenhouse gases emissions.
Ethical issues of AI
The optimisation of logistics, fraud detection, art composition, research execution,
offering the translations: these are some of the basic functionalities of the artificial
intelligence technology. With the increase of the capability of these systems, it could be
considered that the system would become significantly intelligent and cautious. Even though
artificial intelligence is offering several benefits to the present world, there are some ethical
issues that are required to be considered and this technology is required to be appropriately
used. The main ethical issue is that with the introduction of the artificial intelligence there
would be significant loss of jobs as the machines would have the capability of performing all
the tasks that were earlier performed by the humans (Fang et a. 2019). Another ethical issue
with the artificial intelligence systems are the inequality that is created by the machines. The
economic systems of the present world are mainly based on the compensation for the
complete contribution to economy, frequently assessed on the basis of hourly wages.
Majority of the companies are presently dependent on the hourly work by the employees for
the development of products as well as the services. Even though artificial intelligence has

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the capability of significant speed as well as capability of effectively processing that could be
considered as far beyond the humans, it could not always be trusted in being fair as well as
neutral. The company Google as well as their parent company Alphabet are considered
among the leaders when artificial intelligence is considered as observed in the Google Photos
service where artificial intelligence is being used for the accurate identification of people,
scenes as well as the objects. But it could also be misused when the camera has been missed
the mark on the racial sensitivity, or when the software has been used for predicting the
future criminals displayed immense bias against several communities.
It could also be observed that with the increase of the power of the artificial
intelligence, the more it could be utilised for various nefarious reasons along with the good
reasons. It is applied not solely on the robots that are produced for replacing the human
soldiers or the autonomous weapons, but to the artificial intelligence systems that could cause
significant damage if it is utilised maliciously. It has also been observed that the present
world users of the artificial intelligence systems, the users are faced with the ethical dilemma
of staying in control of the complex machines when the intelligence level of the machines has
increased significantly. As soon as the machines are considered as the entities that could
efficiently perceive, feel as well as act, it could not only be the huge leap to the pondering of
the legal status.
Conclusion
Therefore, it could be concluded from the above discussion that the artificial
intelligence systems are becoming significantly popular and the use of the artificial
intelligence systems would increase in the various sectors. There are some ethical issues
connected with the artificial intelligence system that are required to be rectified for ensuring
that the systems are properly used and it does not do any harm to the humans. Artificial

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intelligence could be described as the sector of computer science that mainly focusses on the
development of the intelligent machines that works as well as reacts like the humans.
Presently, it has been observed that data is mainly streaming in the real time and it is fuelled
by booming growth of the digital devices, the social media, Internet of Things as well as the
cloud computing. Even though artificial intelligence is offering several benefits to the present
world, there are some ethical issues that are required to be considered and this technology is
required to be appropriately used.

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References
Buchlak, Q.D., Esmaili, N., Leveque, J.C., Farrokhi, F., Bennett, C., Piccardi, M. and Sethi,
R.K., 2019. Machine learning applications to clinical decision support in neurosurgery: an
artificial intelligence augmented systematic review. Neurosurgical review, pp.1-19.
Fang, F., Tambe, M., Dilkina, B. and Plumptre, A.J. eds., 2019. Artificial Intelligence and
Conservation. Cambridge University Press.
Gunning, D., 2017. Explainable artificial intelligence (xai). Defense Advanced Research
Projects Agency (DARPA), nd Web, 2.
Hamet, P. and Tremblay, J., 2017. Artificial intelligence in medicine. Metabolism, 69,
pp.S36-S40.
Hassabis, D., Kumaran, D., Summerfield, C. and Botvinick, M., 2017. Neuroscience-inspired
artificial intelligence. Neuron, 95(2), pp.245-258.
Jackson, P.C., 2019. Introduction to artificial intelligence. Courier Dover Publications.
Jennings, N., 2018, December. Human-Artificial Intelligence Partnerships. In Proceedings of
the 6th International Conference on Human-Agent Interaction (pp. 2-2). ACM.
Konar, A., 2018. Artificial intelligence and soft computing: behavioral and cognitive
modeling of the human brain. CRC press.
Krishnamoorthy, C.S. and Rajeev, S., 2018. Artificial intelligence and expert systems for
engineers. CRC press.
Li, D. and Du, Y., 2017. Artificial intelligence with uncertainty. CRC press.
Lu, H., Li, Y., Chen, M., Kim, H. and Serikawa, S., 2018. Brain intelligence: go beyond
artificial intelligence. Mobile Networks and Applications, 23(2), pp.368-375.

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Moravčík, M., Schmid, M., Burch, N., Lisý, V., Morrill, D., Bard, N., Davis, T., Waugh, K.,
Johanson, M. and Bowling, M., 2017. Deepstack: Expert-level artificial intelligence in heads-
up no-limit poker. Science, 356(6337), pp.508-513.
Russell, S.J. and Norvig, P., 2016. Artificial intelligence: a modern approach. Malaysia;
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Spiro, R.J., Bruce, B.C. and Brewer, W.F., 2017. Theoretical issues in reading
comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence
and education. Routledge.
Steels, L. and Brooks, R., 2018. The artificial life route to artificial intelligence: Building
embodied, situated agents. Routledge.
Szolovits, P. ed., 2019. Artificial intelligence in medicine. Routledge.