ARTIFICIAL INTELLIGENCE
Artificial Intelligence
Abstract
Artificial intelligence (AI) stands as a crucial technology that underpins everyday social
interactions and economic operations. In our ever-advancing world of science and technology,
computer and information technologies have steadily gained widespread usage in contemporary
society.
Concurrently, user demands are constantly evolving, and as Internet and information technologies continuously progress, the realization of human-centered and intelligent services
within computer networks has become an inexorable trend.
These intelligent services extend
beyond daily life to permeate various realms of professional work. By introducing the concept of
artificial intelligence and amalgamating its key strengths, this discussion delves into the
application of AI in the domain of computer network technology. The primary aim of this study
is to evaluate the multifaceted impacts of AI, in its diverse manifestations, across numerous
facets of life.
Keywords: AI-based technology, Artificial intelligence, Machine learning, Education
Keywords: AI-based technology, Artificial intelligence, Machine learning, Education
1. Introduction
Before computers and similar technologies were introduced, educators and learners relied on
manual methods or the sheer application of human effort for instruction and learning. However,
in the 1970s, the advent of microcomputers, and subsequently personal computers, brought forth
increased computing capabilities and marked a significant shift towards electronic computers
becoming accessible to the general public. The development of personal computers enabled
individuals and non-governmental organizations to acquire and utilize computers for various
purposes. These transitions paved the way for the widespread adoption of computers across
various sectors of the economy and society.(Chen, Chen et al. 2020).
Artificial intelligence (AI) is the scientific field dedicated to studying and creating intelligent
machines. For individuals who are not well-versed in AI, the concept of intelligent machines
might initially evoke images of charismatic, human-like computers or robots often seen in
science fiction. We are witnessing the acceleration of the new technological revolution and the
emergence of a new industrial revolution. We anticipate the arrival of a fresh era referred to as
"Internet plus artificial intelligence (AI)," characterized by widespread networks, data-centricity,
collaborative services, international integration, autonomous intelligence, and extensive
innovation. The swift advancement and integration of emerging AI technologies with internet
technologies, next-generation information technologies, new energy solutions, materials science,
and biotechnology are integral aspects of this era. Consequently, this transformation will
profoundly alter the paradigms, methods, and ecosystems used in applications across the national
economy, quality of life, and national security (Li, Hou et al. 2017).
2. Literature Review
The term "Artificial Intelligence" (AI) was introduced by John McCarthy during a conference in
1956. Nevertheless, the notion of machines emulating human behavior and genuine thought had
been contemplated earlier by Alan Turing, who devised the Turing test to distinguish between
humans and machines. Over time, computational power has advanced to the extent of enabling
instantaneous calculations and the real-time assessment of new data in comparison to previously
analyzed information. In the present day, AI has become an integral part of our daily lives,
manifesting in various forms such as personal assistants (Siri, Alexa, Google Assistant, etc.),
automated mass transit, aviation, and computer gaming. More recently, AI has made inroads into
the field of medicine, enhancing patient care by expediting processes and enhancing precision,
ultimately improving healthcare overall. Machine learning is now employed to analyze
radiological images, pathology slides, and electronic medical records (EMRs) of patients,
thereby assisting in the diagnosis and treatment of patients while augmenting the capabilities of
healthcare professionals.(Mintz and Brodie 2019).
Currently, there is a pressing need for extensive research encompassing various aspects,
including social, economic, ethical, and legal considerations, related to the integration of
artificial intelligence technologies across different sectors of society. This research focuses
particularly on exploring and assessing potential applications of artificial intelligence in higher
education. Artificial intelligence, while not a primary driver, serves as a valuable tool capable of
enhancing numerous tasks within the university environment. It aids in the efficient organization
of educational processes and facilitates essential communication. The proficient utilization of AI
technologies in higher education has the potential to enable the identification of the most optimal
learning strategies, tailored to the individual capacities and requirements of students, as well as
the demands of the job market. (Dilmurod and Fazliddin2021).
As AI technology continues to advance, its future role in the field of education is expected to
expand significantly. Through an examination of how AI is being applied in education and an
exploration of the obstacles it encounters in this context, individuals can gain a comprehensive
understanding of the AI and education landscape. This knowledge can assist educators and
students in effectively embracing and leveraging AI technology within the teaching and learning
process. The ultimate goal is to enhance the quality of teaching, refine learning approaches for
students, and foster greater diversity and personalization in students' learning style (Huang, Saleh
et al. 2021).
In today's rapidly changing environment, information processing within the decision-making
aspects of entrepreneurial endeavors occurs through a dynamic human-machine interaction
process. This process involves the continual back-and-forth engagement between an individual
and a computer system, often powered by artificial intelligence. Typically, the action of decision making is meticulously analyzed and shaped by the regulatory framework of an information
system. This system serves as an expert, guiding the actions of the individual, specifically the
entrepreneur (Tkachenko, Kuzioret al. 2019)
3. Conclusion
Artificial Intelligence (AI) encompasses the study and implementation of methodologies
enabling tasks that typically demand human intelligence to be executed on computational
devices. The overarching aim of artificial intelligence is to harness the limited resource of
intelligence and disseminate it through the proliferation of computer technology. There remains a
substantial amount of research to be conducted in this domain.
To optimize the functionality of intelligent machine systems in their interactions with healthcare
recipients, there is a necessity for research focusing on human-computer and human-robot
interactions within the healthcare context. It is imperative to explore people's attitudes and
preferences when it comes to utilizing intelligent machines for healthcare purposes, taking into
consideration demographic and cultural variations in these preferences. Rigorous randomized
controlled trials are particularly essential to assess the efficacy of emerging treatments delivered
by intelligent machines in comparison to traditional approaches.
Likewise, there is a crucial need to ensure equity in the application of AI within the realm of
education. As AI continues to advance, developing countries face the risk of exacerbating
educational disparities due to the introduction of new technologies. Just as the digital divide has
separated individuals who can access the Internet from those who cannot, the ever-expanding
algorithmic gap now threatens to deprive many individuals of the educational opportunities
offered by AI. Given that the majority of AI algorithms originate from developed countries, they
may not fully account for the conditions prevalent in developing nations and cannot be directly
applied in these contexts.
4. References
Chen, L., et al. (2020). "Artificial intelligence in education: A review." Ieee Access 8: 75264-
75278.
Dilmurod, R. and A Fazliddin (2021). "Prospects for the introduction of artificial intelligence
technologies in higher education." ACADEMICIA: an international multidisciplinary research
journal 11(2): 929-934.
Huang, J., et al. (2021). "A review on artificial intelligence in education." Academic Journal of
Interdisciplinary Studies 10(206).
Li, B.-h., et al. (2017). "Applications of artificial intelligence in intelligent manufacturing: a
review." Frontiers of Information Technology & Electronic Engineering 18: 86-96.
Mintz, Y. and R. Brodie (2019). "Introduction to artificial intelligence in medicine." Minimally
Invasive Therapy & Allied Technologies 28(2): 73-81.
Tkachenko, V., et al. (2019). "Introduction of artificial intelligence tools into the training
methods of entrepreneurship activities." Journal of Entrepreneurship Education 22(6): 1-10
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