Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 32
Published: Dec. 28, 2024
Despite
the
risks
associated
with
generative
AI
(GenAI)
chatbots,
people
increasingly
use
these
technologies,
which
may
seem
contradictory.
This
study
identified
and
explored
factors
related
to
trust,
perceived
values,
satisfaction,
sustainable
of
GenAI
chatbots.
Relying
on
IS
theories
build
a
stimulus-organism-response
model,
authors
tested
model
using
PLS-SEM
data
from
393
ChatGPT
users.
The
results
show
that
user
competence
autonomy
dramatically
increase
user's
trust
in
ChatGPT,
improves
hedonic
value
(HV),
utilitarian
(UV),
value-in-use,
task-technology
fit
(TTF),
information
accuracy,
knowledge
acquisition,
informativeness,
satisfaction.
In
addition
satisfaction
depends
HV,
UV,
TTF.
sustainability
HV
However,
privacy
concerns,
risks,
awareness
do
not
affect
consumer
trust.
There
is
complete
mediation
between
sustainability,
as
well
sustainability.
Information Discovery and Delivery,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Purpose
The
purpose
of
this
paper
is
to
conduct
a
thorough
study
the
current
research
status
and
trends
Artificial
Intelligence-Generated
Content
(AIGC),
which
thriving
exerting
significant
influences
on
society,
economy
technology.
This
will
encompass
both
ample
opportunities
array
emerging
risks
challenges
associated
with
AIGC.
Furthermore,
seeks
propose
practical
optimization
strategies
facilitate
its
continued
development.
Design/methodology/approach
A
total
12,702
documents
in
Scopus,
CNKI
Altmetric.com
databases
are
analyzed
paper.
visualization
tools
CiteSpace
Netdraw
used
systematically
analyze
AIGC
from
macro,
meso
micro
perspectives
based
bibliometric
indicators.
analysis
combined
altmetrics
indicators
identify
hotspots
AIGC-related
predict
future
development
trends.
Finally,
substantive
suggestions
for
put
forward.
Findings
Research
has
found
that
firstly,
domestic
international
field
actively
catching
up
pace
era.
Institutions
authors
recognize
indispensability
collaboration,
leading
emergence
interdisciplinary
cooperation
Secondly,
at
thematic
level,
studies
cover
overall
AIGC,
including
technology,
applications,
coping
strategies.
However,
scholars
tend
focus
more
technological
breakthroughs,
while
researchers
emphasize
formulation
national
laws
regulations.
through
trends,
it
predicted
addressing
legal
issues
regarding
originality
enhancing
interactivity,
optimizing
emphasizing
ethical
considerations
efficiently
major
social
such
as
pandemics
using
Corresponding
proposed
ensure
consistent
global
consensus
values,
creating
beneficial
environment
sustainable
Originality/value
Firstly,
integrates
data
three
uses
multiple
software
comparative
perspectives.
not
only
analyzes
academic
influence
but
also
combines
explore
public’s
attitude
toward
method
reveals
institutions
researchers,
areas,
hotspot
evolution
research,
providing
theoretical
references
subsequent
research.
Additionally,
helps
governments,
organizations
precisely
wisely
formulate
policies
investments,
well
effectively
comprehend
promote
advancement
technology
applications.
Family Relations,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 30, 2025
ABSTRACT
Artificial
intelligence
(AI)
has
redefined
how
people
live
and
interact
with
technology.
While
AI
continues
to
evolve,
its
integration
into
everyday
life
brought
both
benefits
challenges.
One
area
that
may
not
have
received
enough
attention
is
the
exploration
of
AI's
impact
on
interpersonal
relationships
family
dynamics
processes.
Our
hope
for
this
multidisciplinary
special
issue
Family
Relations
provide
an
opportunity
reflection
intersection
AI—broadly
defined
as
any
technological
innovation
simulates
human
intelligence—and
well
study
or
intervention
in
dynamics.
Although
research
studies,
reviews,
commentaries
focus
a
variety
subtopics
within
dynamics,
we
feel
they
can
be
centered
around
following
distinct
but
overlapping
themes:
(1)
integrated
families
potential
impacts
relationships,
(2)
support
assist
identifying
patterns
processes
(3)
children
developing
skills
relevant
their
lives
(4)
tools
used
by
are
developed
assessed,
(5)
policy
ethical
considerations
use
Transactions of the Association for Computational Linguistics,
Journal Year:
2024,
Volume and Issue:
12, P. 1378 - 1400
Published: Jan. 1, 2024
Abstract
Due
to
the
widespread
use
of
large
language
models
(LLMs),
we
need
understand
whether
they
embed
a
specific
“worldview”
and
what
these
views
reflect.
Recent
studies
report
that,
prompted
with
political
questionnaires,
LLMs
show
left-liberal
leanings
(Feng
et
al.,
2023;
Motoki
2024).
However,
it
is
as
yet
unclear
are
reliable
(robust
prompt
variations)
leaning
consistent
across
policies
leaning.
We
propose
series
tests
which
assess
reliability
consistency
LLMs’
stances
on
statements
based
dataset
voting-advice
questionnaires
collected
from
seven
EU
countries
annotated
for
policy
issues.
study
ranging
in
size
7B
70B
parameters
find
that
their
increases
parameter
count.
Larger
overall
stronger
alignment
left-leaning
parties
but
differ
among
programs:
They
(left-wing)
positive
stance
towards
environment
protection,
social
welfare
state,
liberal
society
also
(right-wing)
law
order,
no
preferences
areas
foreign
migration.
Journal of Asian Public Policy,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 25
Published: Dec. 28, 2024
Generative
artificial
intelligence
has
emerged
as
a
powerful
technological
innovation
that
is
exerting
sweeping
influence
in
the
education
sector.
The
rapid
diffusion
of
ChatGPT
universities
worldwide
presents
both
opportunities
and
challenges
to
higher
policy
administration.
This
study
seeks
examine
students'
behavioural
perceptual
experiences
with
use
at
Hong
Kong
University
Science
Technology,
which
was
among
first
introduce
officially
protected
services.
Launched
November
2023,
university-wide
student
survey
sampled
680
students
from
campus
Guangzhou
Mainland
China.
results
indicate
significant
usage
services
very
high
level
intention
continue
use.
perceive
contribute
positively
their
learning
career
development.
Significant
variations
were
found
according
gender,
study,
age
group,
discipline,
country/region
origin,
terms
ChatGPT.
These
offer
useful
evidence
for
curriculum
reform
improvement
AI
literacy
institutions.
SHS Web of Conferences,
Journal Year:
2024,
Volume and Issue:
205, P. 07003 - 07003
Published: Jan. 1, 2024
Artificial
intelligence
(AI)
technology
has
had
a
major
impact
on
education,
making
learning
more
interactive
and
efficient.
ChatGPT,
as
an
implementation
of
AI,
allows
students
to
get
information
quickly,
but
there
are
still
challenges
related
digital
literacy
understanding
academic
ethics.
Many
educators
have
not
fully
mastered
this
technology,
so
its
use
is
optimal.
This
research
uses
qualitative
descriptive
approach
by
utilizing
Technology
Acceptance
Model
(TAM)
based
questionnaire
explore
the
perceptions
FKIP
UMRAH
regarding
ChatGPT.
The
results
show
that
ChatGPT
widely
accepted
effective
tool
in
completing
assignments
increasing
efficiency.
However,
such
lack
ethics,
risk
plagiarism,
over-reliance
problems.
Educational
institutions
can
increase
through
special
training
implementing
stricter
regulations
AI.
These
findings
make
important
contribution
literature
acceptance
AI
education
offer
practical
solutions
for
policy
technologies
Future
expected
expand
sample
scope
long-term
students'
critical
thinking
abilities.
