technologies in today's interconnected world (Al
Ka'bi, 2022). In terms of cybersecurity, Network
security AIOps for online stream data monitoring
demonstrates some of the current issues for
cybersecurity in the field of technology, emphasizing
the dynamic thresholds, deep learning, the role of
SOCs, situational awareness, and the cybersecurity
tools and techniques in addressing modern
cybersecurity challenges (Nguyen, 2022). In
Enhancing cybersecurity protocols in the era of big
data and advanced analytics, it is mentioned that with
the exponential growth of big data, the diversity and
complexity of data is increasing, and the different
formats and sources of data as well as the speed of
data processing require cybersecurity protocols to
have greater adaptability and flexibility (Nwobodo,
2024).
AI ethics are closely related to cybersecurity. In
the future, with the development of technology and
the expansion of application scenarios, people need to
pay more attention to AI ethical issues and actively
search for effective solutions to ensure the healthy
development of AI technology and social well-being.
2 OVERVIEW OF AI
TECHNOLOGY DEPARTMENT
AI is a cross-discipline based on computer science
and technology and cross-fertilized by multiple
disciplines such as computing, philosophy,
psychology, etc. It is a new technological science that
researches and develops theories, methods,
technologies, and application systems used to
simulate, extend, and expand human intelligence. The
research in this field covers a wide range of aspects
such as robotics, language recognition, image
recognition, machine learning, deep learning, natural
language processing and expert systems. AI can
simulate the information process of human
consciousness and thinking, and although it is not
human intelligence, it is able to think like a human
being and may even exceed human intelligence in
some aspects. As discussed in A Scholarly Definition
of AI: Advancing AI as a Conceptual Framework in
Communication Research, the authors define AI as
non-human machines or artificial entities with the
tangible ability to perform, solve tasks, communicate,
interact, and act logically in the real world, as occurs
in biological humans (Gil de Zúñiga, 2024). They
also stated that AI is mainly defined as computational
technology capable of achieving specific tasks,
imitating human behavior, cognitive heuristics and
intelligence.
The Dartmouth Conference held in 1956 marked
the emergence of AI as an independent field of study.
An important branch of early AI was semiotics,
whose main research directions included natural
language processing and logical reasoning, etc. The
1969s and 1970s were the early years of the
development of AI. In 1961, John McCarthy
introduced the term “artificial intelligence”, which
meant that the research on AI was gradually deepened,
but due to the limitations of technological
development and computing power, the development
of AI was relatively slow. 1980s, connectionism and
neural networks became an emerging field of research,
and in 1986, the back propagation algorithm opened
the way to the research and development of neural
networks, and after this, the research direction of AI
gradually shifted to machine learning and deep
learning. 21st century to the present is the beginning
of deep learning. The beginning of the 21st century to
the present is the rise of deep learning, which began
to rise in 2006 with the proposal of deep confidence
networks. Deep learning analyzes and learns the
special features of data and their deeper meanings
through multi-level neurons, and is widely used in
natural language recognition, image recognition,
speech recognition, etc. In 2016, AlphaGo defeated
Go world champion Lee Sedol, demonstrating the
potential of AI and reinforcement learning
technology in the field of AI. This was followed by
the birth of ChatGPT, which was introduced in 2022.
ChatGPT, as a powerful language model developed
by OpenAI, has strong language processing
capabilities and the ability to converse with human
beings, making it a new milestone in AI. The
introduction of ChatGPT marks a major breakthrough
for AI in the field of science and technology, and also
signals that AI will gradually integrate into all aspects
of human life.
The technical classification of AI mainly includes:
machine learning, deep learning, natural language
processing, computer vision, robot vision, robotics,
biometrics, portrait recognition, image recognition,
text recognition, aerospace applications, information
processing and many other types.
An important application of AI in the field of
cyber security is intrusion detection. The system is
able to automatically identify and analyze anomalies
in network traffic through robotic algorithms, thus
enabling timely detection and blocking of virus
intrusions and network attacks. For example, the
malicious code analysis and detection system based
on machine learning can automatically identify and