Education and Information Technologies,
Год журнала:
2024,
Номер
29(15), С. 20181 - 20200
Опубликована: Апрель 13, 2024
Abstract
ChatGPT
has
surprised
academia
with
its
remarkable
abilities
but
also
raised
substantial
concerns
regarding
academic
integrity
and
misconduct.
Despite
the
debate,
empirical
research
exploring
issue
is
limited.
The
purpose
of
this
study
to
bridge
gap
by
analyzing
Twitter
data
understand
how
perceiving
ChatGPT.
A
total
9733
tweets
were
collected
through
Python
via
API
in
three
consecutive
weeks
May
June
2023;
3000
most
relevant
ones
analyzed
Atlas
ti.
23.
Our
findings
reveal
a
generally
supportive
attitude
towards
using
academia,
absence
clear
policies
regulations
requires
attention.
Discussions
primarily
focus
on
integrity,
learning
effectiveness,
teaching
efficiency.
Tweets
from
influencers
over
one
million
followers
separately.
significance
these
limitations
are
included.
Systems,
Год журнала:
2023,
Номер
11(10), С. 519 - 519
Опубликована: Окт. 17, 2023
Artificial
intelligence
(AI)
has
significantly
impacted
thyroid
cancer
diagnosis
in
recent
years,
offering
advanced
tools
and
methodologies
that
promise
to
revolutionize
patient
outcomes.
This
review
provides
an
exhaustive
overview
of
the
contemporary
frameworks
employed
field,
focusing
on
objective
AI-driven
analysis
dissecting
across
supervised,
unsupervised,
ensemble
learning.
Specifically,
we
delve
into
techniques
such
as
deep
learning,
artificial
neural
networks,
traditional
classification,
probabilistic
models
(PMs)
under
supervised
With
its
prowess
clustering
dimensionality
reduction,
unsupervised
learning
(USL)
is
explored
alongside
methods,
including
bagging
potent
boosting
algorithms.
The
datasets
(TCDs)
are
integral
our
discussion,
shedding
light
vital
features
elucidating
feature
selection
extraction
critical
for
diagnostic
systems.
We
lay
out
standard
assessment
criteria
regression,
statistical,
computer
vision,
ranking
metrics,
punctuating
discourse
with
a
real-world
example
detection
using
AI.
Additionally,
this
study
culminates
analysis,
current
limitations
delineating
path
forward
by
highlighting
open
challenges
prospective
research
avenues.
Through
comprehensive
exploration,
aim
offer
readers
panoramic
view
AI’s
transformative
role
diagnosis,
underscoring
potential
pointing
toward
optimistic
future.
Región Científica,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 15, 2024
Artificial
intelligence
has
generated
several
concerns
and
discussions,
especially
about
the
possible
risks
consequences
if
ethical
principles
are
not
critically
observed.
Information
was
collected
through
documentary
hermeneutic
research
methods,
in
which
interpretation
critical
analysis
prevail,
followed
by
study
of
relevant
bibliographic
references
on
these
topics.
The
results
were
triangulated
with
answers
from
artificial
chat
(ChatGPT
3.5)
Spanish.
It
found
that
there
significant
differences
between
human
beings,
transhuman,
intelligence,
generating
different
spiritual-transcendent
dilemmas
today,
can
make
intelligent
machine
a
danger
to
humanity.
Concepts
such
as
singularity,
autonomy,
conscience,
decision-making,
freedom,
among
others,
allow
us
glimpse
difference
programmed,
automated
certain
functionality
autonomy.
is
concluded
everything
techno-scientifically
ethically
acceptable,
nor
it
equate
programmed
algorithms
beings
capable
self-awareness,
self-determination,
thinking
their
existence,
being
aware
uniqueness,
other
vital
differences.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Июль 30, 2024
Abstract
As
technology
continues
to
advance,
the
integration
of
generative
artificial
intelligence
tools
in
various
sectors,
including
education,
has
gained
momentum.
ChatGPT,
an
extensively
recognized
language
model
created
by
OpenAI,
significant
importance,
particularly
education.
This
study
investigates
awareness,
acceptance,
and
adoption
a
state-of-the-art
developed
higher
education
institutions
across
China.
applies
partial
least
squares
structural
equation
modeling
(PLS-SEM)
method
for
examining
data
collected
from
320
Chinese
university
students.
The
study’s
conceptual
framework
integrates
key
determinants
Technology
Acceptance
Model
(TAM)
extends
it
incorporating
perceived
as
critical
factor
process.
findings
reveal
that
ChatGPT
awareness
significantly
influences
intention
adopt
ChatGPT.
Perceived
ease
use,
usefulness,
mediate
association
between
Additionally,
trust
moderates
relationship
intelligence.
Moving
forward,
order
maintain
students’
thinking
skills
inventiveness
their
assessment
writing,
assessments
must
promote
safe
use
Therefore,
educators
will
be
crucial
ensuring
are
used
ethically
suitably
providing
clear
guidelines
instructions.
Abstract
The
digital
transformation
of
modern
cities
by
integrating
advanced
information,
communication,
and
computing
technologies
has
marked
the
epoch
data-driven
smart
city
applications
for
efficient
sustainable
urban
management.
Despite
their
effectiveness,
these
often
rely
on
massive
amounts
high-dimensional
multi-domain
data
monitoring
characterizing
different
sub-systems,
presenting
challenges
in
application
areas
that
are
limited
quality
availability,
as
well
costly
efforts
generating
scenarios
design
alternatives.
As
an
emerging
research
area
deep
learning,
Generative
Artificial
Intelligence
(GenAI)
models
have
demonstrated
unique
values
content
generation.
This
paper
aims
to
explore
innovative
integration
GenAI
techniques
twins
address
planning
management
built
environments
with
focuses
various
such
transportation,
energy,
water,
building
infrastructure.
survey
starts
introduction
cutting-edge
generative
AI
models,
Adversarial
Networks
(GAN),
Variational
Autoencoders
(VAEs),
Pre-trained
Transformer
(GPT),
followed
a
scoping
review
existing
science
leverage
intelligent
autonomous
capability
facilitate
research,
operations,
critical
subsystems,
holistic
environment.
Based
review,
we
discuss
potential
opportunities
technical
strategies
integrate
into
next-generation
more
intelligent,
scalable,
automated
development
Heliyon,
Год журнала:
2025,
Номер
11(2), С. e42077 - e42077
Опубликована: Янв. 1, 2025
Advances
in
artificial
intelligence
(AI)
have
had
a
major
impact
on
natural
language
processing
(NLP),
even
more
so
with
the
emergence
of
large-scale
models
like
ChatGPT.
This
paper
aims
to
provide
critical
review
explainable
AI
(XAI)
methodologies
for
chatbots,
particular
focus
Its
main
objectives
are
investigate
applied
methods
that
improve
explainability
identify
challenges
and
limitations
within
them,
explore
future
research
directions.
Such
goals
emphasize
need
transparency
interpretability
systems
build
trust
users
allow
accountability.
While
integrating
such
interdisciplinary
methods,
as
hybrid
combining
knowledge
graphs
ChatGPT,
enhancing
explainability,
they
also
highlight
industry
needs
user-centred
design.
will
be
followed
by
discussion
balance
between
performance,
then
role
human
judgement,
finally
verifiable
AI.
These
avenues
through
which
insights
can
used
guide
development
transparent,
reliable
efficient
chatbots.
Cogent Business & Management,
Год журнала:
2023,
Номер
10(3)
Опубликована: Ноя. 15, 2023
In
this
study,
we
present
a
brief
narrative
review
focused
on
ChatGPT,
state-of-the-art
conversational
agent
developed
using
OpenAI's
Generative
Pretrained
Transformer
(GPT)
framework.
Distinctive
for
its
ability
to
generate
text
of
high
quality
in
real-time,
ChatGPT
has
emerged
as
leader
among
artificial
intelligence
chatbots,
garnering
interest
from
both
commercial
and
scholarly
circles.
Our
explores
the
technological
underpinnings
examines
inherent
features
that
support
performance,
analyzes
existing
research
applications
impacts
across
several
domains.
Through
assessment,
delineate
ChatGPT's
strengths
limitations,
offering
informed
recommendations
future
investigations
burgeoning
field.
