Artificial Intelligence Technology | Discussion

Running head: ARTIFICIAL INTELLIGENCE TECHNOLOGY
ARTIFICIAL INTELLIGENCE TECHNOLOGY
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ARTIFICIAL INTELLIGENCE TECHNOLOGY
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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ARTIFICIAL INTELLIGENCE TECHNOLOGY
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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ARTIFICIAL INTELLIGENCE TECHNOLOGY
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.