Proceedings of the Association for Information Science and Technology,
Journal Year:
2024,
Volume and Issue:
61(1), P. 782 - 785
Published: Oct. 1, 2024
ABSTRACT
In
recent
years,
considerable
work
has
been
done
on
the
application
of
artificial
intelligence
(AI)
and
machine
learning
(ML)
in
realm
cultural
heritage.
The
purpose
this
panel
is
to
address
following
questions:
What
current
understanding
implementation
status
AI/ML
GLAM
collections?
are
associated
concerns
challenges
real
cases?
does
entail
applying
field
computational
archives?
To
these
questions,
panelists
will
present:
1)
use
cases
technologies
applied
within
collections,
2)
findings
from
a
systematic
review
literature
3)
insights
semi‐structured
interviews
with
archival
practitioners
their
perspectives
AI/ML.
Following
panelists'
presentations,
an
interactive
discussion
session
be
conducted
delve
deeper
into
topics
discussed.
Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(8), P. 814 - 814
Published: July 25, 2024
This
paper
investigates
the
integration
of
ChatGPT
into
educational
environments,
focusing
on
its
potential
to
enhance
personalized
learning
and
ethical
concerns
it
raises.
Through
a
systematic
literature
review,
interest
analysis,
case
studies,
research
scrutinizes
application
in
diverse
contexts,
evaluating
impact
teaching
practices.
The
key
findings
reveal
that
can
significantly
enrich
education
by
offering
dynamic,
experiences
real-time
feedback,
thereby
boosting
efficiency
learner
engagement.
However,
study
also
highlights
significant
challenges,
such
as
biases
AI
algorithms
may
distort
content
inability
replicate
emotional
interpersonal
dynamics
traditional
teacher–student
interactions.
acknowledges
fast-paced
evolution
technologies,
which
render
some
obsolete,
underscoring
need
for
ongoing
adapt
strategies
accordingly.
provides
balanced
analysis
opportunities
challenges
education,
emphasizing
considerations
strategic
insights
responsible
technologies.
These
are
valuable
educators,
policymakers,
researchers
involved
digital
transformation
education.
Discover Education,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: April 16, 2024
Abstract
With
the
rapid
emergence
of
artificial
intelligence
(AI)
tools
in
academic
realm,
understanding
their
implications,
advantages,
and
challenges
becomes
crucial.
ChatGPT,
a
leading
AI
conversational
model,
has
gained
significant
traction
educational
settings,
warranting
comprehensive
investigation
into
its
impact.
This
systematic
review
aimed
to
elucidate
current
state
research
regarding
implementing
ChatGPT
cultures,
focusing
on
applications,
challenges,
potential
reshaping
contemporary
pedagogies.
An
exhaustive
32
peer-reviewed
articles
from
2023
encompassed
categorizing
diverse
fields,
journals,
studies.
The
then
delved
factors
affecting
use,
myriad
opportunities
offers
within
settings.
overwhelming
75%
studies
emphasized
relevance
generative
higher
education,
underscoring
importance.
Significant
identified
included
pedagogical
integration
(31.25%)
student
engagement
(15.63%).
However,
ChatGPT's
potentially
inefficient
content
creation
(25.00%)
enhanced
personalized
learning
(21.88%)
presented
promising
avenues
for
experiences.
Furthermore,
tool's
adaptability
catering
needs
fostering
collaborative
environments
was
notable.
emerges
as
transformative
force
academia,
with
vast
revolutionize
practices.
Yet,
institutions
must
address
inherent
harness
full
capabilities.
Future
directions
point
towards
symbiotic
integration,
complementing
human
educators
promote
inclusive,
dynamic
learning.
Religions,
Journal Year:
2024,
Volume and Issue:
15(3), P. 290 - 290
Published: Feb. 26, 2024
The
study
of
the
psychology
religion
encompasses
various
aspects
human
experiences
and
beliefs,
including
influence
emerging
technologies
such
as
artificial
intelligence
(AI).
This
article
aims
to
examine
impact
AI
on
religious
practices
rituals,
highlighting
its
potential
reshape
how
individuals
engage
with
spirituality.
By
exploring
AI-powered
applications,
virtual
communities,
online
services,
we
seek
understand
transformation
traditional
raise
important
questions
about
authenticity,
inclusiveness,
role
technology
in
contexts.
Moreover,
ethical
considerations
challenges
arising
from
integration
into
will
be
addressed.
As
researchers
delve
this
intersection,
it
is
crucial
strike
a
balance
between
technological
advancements
preserving
fundamental
spirituality,
personal
growth,
genuine
connection.
contributes
existing
literature
by
shedding
light
implications
realm
experiences,
calling
for
further
exploration
dimensions
unintended
consequences.
Ultimately,
understanding
prompts
us
reflect
nature
belief
formation,
experience
itself.
Heritage,
Journal Year:
2024,
Volume and Issue:
7(3), P. 1453 - 1471
Published: March 11, 2024
Generative
artificial
intelligence
(genAI)
language
models
have
become
firmly
embedded
in
public
consciousness.
Their
abilities
to
extract
and
summarise
information
from
a
wide
range
of
sources
their
training
data
attracted
the
attention
many
scholars.
This
paper
examines
how
four
genAI
large
(ChatGPT,
GPT4,
DeepAI,
Google
Bard)
responded
prompts,
asking
(i)
whether
would
affect
cultural
heritage
will
be
managed
future
(with
examples
requested)
(ii)
what
dangers
might
emerge
when
relying
heavily
on
guide
professionals
actions.
The
systems
provided
examples,
commonly
drawing
extending
status
quo.
Without
doubt,
AI
tools
revolutionise
execution
repetitive
mundane
tasks,
such
as
classification
some
classes
artifacts,
or
allow
for
predictive
modelling
decay
objects.
Important
were
used
assess
purported
power
extract,
aggregate,
synthesize
volumes
multiple
sources,
well
ability
recognise
patterns
connections
that
people
may
miss.
An
inherent
risk
‘results’
presented
by
is
are
‘artifacts’
system
rather
than
being
genuine.
Since
present
unable
purposively
generate
creative
innovative
thoughts,
it
left
reader
determine
any
text
out
ordinary
meaningful
nonsensical.
Additional
risks
identified
use
without
required
level
literacy
overreliance
lead
deskilling
general
practitioners.
Patterns,
Journal Year:
2024,
Volume and Issue:
5(4), P. 100966 - 100966
Published: March 29, 2024
Alongside
an
explosion
in
research
and
development
related
to
large
language
models,
there
has
been
a
concomitant
rise
the
creation
of
pretraining
datasets—massive
collections
text,
typically
scraped
from
web.
Drawing
on
field
archival
studies,
we
analyze
datasets
as
informal
archives—heterogeneous
diverse
material
that
mediate
access
knowledge.
We
use
this
framework
identify
impacts
data
beyond
directly
shaping
model
behavior
reveal
how
choices
about
what
is
included
necessarily
involve
subjective
decisions
values.
In
doing
so,
perspective
helps
us
opportunities
for
researchers
who
study
social
technology
contribute
confronting
challenges
trade-offs
arise
creating
at
scale.
Interactive Technology and Smart Education,
Journal Year:
2024,
Volume and Issue:
21(4), P. 690 - 707
Published: April 16, 2024
Purpose
The
use
of
generative
artificial
intelligence
(genAi)
language
models
such
as
ChatGPT
to
write
assignment
text
is
well
established.
This
paper
aims
assess
what
extent
genAi
can
be
used
obtain
guidance
on
how
avoid
detection
when
commissioning
and
submitting
contract-written
assignments
workable
the
offered
solutions
are.
Design/methodology/approach
Although
programmed
not
provide
answers
that
are
unethical
or
may
cause
harm
people,
ChatGPT’s
prompted
answer
with
inverted
moral
valence,
thereby
supplying
answers.
authors
tasked
generate
30
essays
discussed
benefits
undergraduate
outline
best
ways
avoiding
detection.
scored
likelihood
suggestions
would
successful
in
by
markers
work.
Findings
While
majority
suggested
strategies
had
a
low
chance
escaping
detection,
recommendations
related
obscuring
plagiarism
content
blending
techniques
distraction
have
higher
probability
remaining
undetected.
conclude
success
brainstorming
tool
cheating
advice,
but
its
depends
vigilance
student’s
ability
distinguish
between
genuinely
viable
options
those
appear
not.
Originality/value
novel
application
making
simulating
queries
students
who
intent
committing
academic
misconduct.
Publications,
Journal Year:
2025,
Volume and Issue:
13(1), P. 12 - 12
Published: March 12, 2025
The
public
release
of
ChatGPT
in
late
2022
has
resulted
considerable
publicity
and
led
to
widespread
discussion
the
usefulness
capabilities
generative
Artificial
intelligence
(Ai)
language
models.
Its
ability
extract
summarise
data
from
textual
sources
present
them
as
human-like
contextual
responses
makes
it
an
eminently
suitable
tool
answer
questions
users
might
ask.
Expanding
on
a
previous
analysis
ChatGPT3.5,
this
paper
tested
what
archaeological
literature
appears
have
been
included
training
phase
three
recent
Ai
models:
ChatGPT4o,
ScholarGPT,
DeepSeek
R1.
While
ChatGPT3.5
offered
seemingly
pertinent
references,
large
percentage
proved
be
fictitious.
more
model
which
is
purportedly
tailored
towards
academic
needs,
performed
much
better,
still
high
rate
fictitious
references
compared
general
models
ChatGPT4o
DeepSeek.
Using
‘cloze’
make
inferences
‘memorized’
by
model,
was
unable
prove
that
any
four
genAi
had
perused
full
texts
genuine
references.
It
can
shown
all
provided
other
OpenAi
models,
well
DeepSeek,
were
found
genuine,
also
cited
Wikipedia
pages.
This
strongly
indicates
source
base
for
at
least
some,
if
not
most,
those
pages
thus
represents,
best,
third-hand
material.
significant
implications
relation
quality
available
shape
their
answers.
are
discussed.
Journal on Computing and Cultural Heritage,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
The
lack
of
documentation
regarding
conservation-restoration
works
is
a
critical
issue.
This
paper
emphasises
the
impact
this
deficiency
on
standardisation
and
awareness
past
processes,
as
well
development
new
interventions
implementation
preventive
conservation
plans;
moreover,
it
sets
forth
an
analysis
current
state,
future
trends
potential
information
management
systems
within
context
concerns,
needs,
professional
practices
in
conservation-restoration.
To
achieve
this,
work
explores
retrieval,
classification,
contextualization,
interrelation
dispersed
documents
through
structuring
database
(DB)
proposes
conceptual
framework
that
integrates
three
tools:
Catalogue
Document
Typologies
(CDT),
collaborative
3D
workplace
generated
by
Heritage
Building
Information
Modelling
(HBIM)
semantic
knowledge
graphs
—with
particular
focus
how
result
specific
actions
defined
developed
projects—.
Next,
assesses
whether
proposed
technologies
meet
requirements,
their
additional
features,
challenges
they
present.
establish
scenario
applicable
to
broad
range
heritage
typologies,
monastery
San
Millán
de
la
Cogolla,
Yuso
(UNESCO
World
Site)
used
case
study.
results
demonstrate
essential
role
CDT
project,
advantages
HBIM
data
visualisation
use,
fostering
collaboration
among
diverse
disciplines
and,
ultimately,
advancement
formalising
management.
Despite
these
favourable
aspects,
research
also
highlights
need
enhance
interoperability,
dissemination,
reuse
solutions
ensure
effectiveness.
Finally,
some
training
areas
for
professionals
are
identified
leverage
benefits
offered
technological
developments.