Text Mining Approaches for Exploring Research Trends in the Security Applications of Generative Artificial Intelligence
Applied Sciences,
Год журнала:
2025,
Номер
15(6), С. 3355 - 3355
Опубликована: Март 19, 2025
This
study
examines
the
security
implications
of
generative
artificial
intelligence
(GAI),
focusing
on
models
such
as
ChatGPT.
As
GAI
technologies
are
increasingly
integrated
into
industries
like
healthcare,
education,
and
media,
concerns
growing
regarding
vulnerabilities,
ethical
challenges,
potential
for
misuse.
not
only
synthesizes
existing
research
but
also
conducts
an
original
scientometric
analysis
using
text
mining
techniques.
To
address
these
concerns,
this
analyzes
1047
peer-reviewed
academic
articles
from
SCOPUS
database
methods,
including
Term
Frequency–Inverse
Document
Frequency
(TF-IDF)
analysis,
keyword
centrality
Latent
Dirichlet
Allocation
(LDA)
topic
modeling.
The
results
highlight
significant
contributions
countries
United
States,
China,
India,
with
leading
institutions
Chinese
Academy
Sciences
National
University
Singapore
driving
security.
In
“ChatGPT”
emerged
a
highly
central
term,
reflecting
its
prominence
in
discourse.
However,
despite
frequent
mention,
showed
lower
proximity
than
terms
“model”
“AI”.
suggests
that
while
ChatGPT
is
broadly
associated
other
key
themes,
it
has
less
direct
connection
to
specific
subfields.
Topic
modeling
identified
six
major
AI
language
models,
data
processing,
risk
management.
emphasizes
need
robust
frameworks
technical
ensure
responsibility,
manage
risks
safe
deployment
systems.
These
must
incorporate
solutions
accountability,
regulatory
compliance,
continuous
underscores
importance
interdisciplinary
integrates
technical,
legal,
perspectives
responsible
secure
technologies.
Язык: Английский
Emphasizing Grey Systems Contribution to Decision-Making Field Under Uncertainty: A Global Bibliometric Exploration
Mathematics,
Год журнала:
2025,
Номер
13(8), С. 1278 - 1278
Опубликована: Апрель 13, 2025
Grey
systems
are
applied
in
numerous
domains,
proving
a
high
efficiency
predicting
and
investigating
complex
systems,
where
data
is
insufficient,
unknown,
or
partially
known.
The
have
strong
contribution
the
decision-making
field
under
uncertainty,
by
identifying
connection
between
variables
optimizing
process
of
choosing
strategies.
With
time,
methods
offered
grey
theory
faced
continuous
adoption
various
research
fields
associated
with
decision-making.
In
this
context,
paper
aims
to
provide
an
in-depth
bibliometric
exploration,
focusing
on
filtered
dataset,
gathered
from
Clarivate
Analytics’
Web
Science
Core
Collection
database
(WoS)
for
purpose
better
highlighting
uncertainty.
Based
extracted
value
registered
annual
growth
rate
17.1%,
that
scientific
community’s
focus
significant,
it
has
maintained
academics’
interest
long
time.
Also,
results
analysis
showed
Journal
System
was
most
relevant
source,
while
Sifeng
Liu
provided
greatest
based
number
published
papers.
Nanjing
University
Aeronautics
Astronautics
ranked
first
top
affiliation
papers,
China—the
homeland
theory—assumes
leading
contributor
country
place.
review
10
cited
papers
revealed
advantages
using
Язык: Английский