Journal of Asthma,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 9
Published: Jan. 8, 2025
Integrating
Artificial
Intelligence
(AI)
into
public
health
education
represents
a
pivotal
advancement
in
medical
knowledge
dissemination,
particularly
for
chronic
diseases
such
as
asthma.
This
study
assesses
the
accuracy
and
comprehensiveness
of
ChatGPT,
conversational
AI
model,
providing
asthma-related
information.
Employing
rigorous
mixed-methods
approach,
healthcare
professionals
evaluated
ChatGPT's
responses
to
Asthma
General
Knowledge
Questionnaire
Adults
(AGKQA),
standardized
instrument
covering
various
topics.
Responses
were
graded
completeness
analyzed
using
statistical
tests
assess
reproducibility
consistency.
ChatGPT
showed
notable
proficiency
conveying
asthma
knowledge,
with
flawless
success
etiology
pathophysiology
categories
substantial
medication
information
(70%).
However,
limitations
noted
medication-related
responses,
where
mixed
(30%)
highlights
need
further
refinement
capabilities
ensure
reliability
critical
areas
education.
Reproducibility
analysis
demonstrated
consistent
100%
rate
across
all
categories,
affirming
delivering
uniform
Statistical
analyses
underscored
stability
reliability.
These
findings
underscore
promise
valuable
educational
tool
while
emphasizing
necessity
ongoing
improvements
address
observed
limitations,
regarding
Education Sciences,
Journal Year:
2023,
Volume and Issue:
13(11), P. 1109 - 1109
Published: Nov. 4, 2023
Generative
Artificial
Intelligence
(GAI)
has
emerged
as
a
transformative
force
in
higher
education,
offering
both
challenges
and
opportunities.
This
paper
explores
the
multifaceted
impact
of
GAI
on
academic
work,
with
focus
student
life
and,
particular,
implications
for
international
students.
While
GAI,
exemplified
by
models
like
ChatGPT,
potential
to
revolutionize
concerns
about
integrity
have
arisen,
leading
debates
use
AI
detection
tools.
essay
highlights
difficulties
reliably
detecting
AI-generated
content,
raising
false
accusations
against
It
also
discusses
biases
within
models,
emphasizing
need
fairness
equity
AI-based
assessments
particular
emphasis
disproportionate
students,
who
already
face
discrimination.
mitigate
some
these
providing
language
support
accessibility
features.
Finally,
this
acknowledges
disruptive
education
calls
balanced
approach
that
addresses
opportunities
it
presents
importance
literacy
ethical
considerations
adopting
technologies
ensure
equitable
access
positive
outcomes
all
We
offer
coda
Ng
et
al.’s
competency
framework,
mapped
Revised
Bloom’s
Taxonomy,
through
lens
cultural
competence
means
supporting
educators
tools
equitably
their
teaching.
International Journal for Educational Integrity,
Journal Year:
2023,
Volume and Issue:
19(1)
Published: Dec. 25, 2023
Abstract
Recent
advances
in
generative
pre-trained
transformer
large
language
models
have
emphasised
the
potential
risks
of
unfair
use
artificial
intelligence
(AI)
generated
content
an
academic
environment
and
intensified
efforts
searching
for
solutions
to
detect
such
content.
The
paper
examines
general
functionality
detection
tools
AI-generated
text
evaluates
them
based
on
accuracy
error
type
analysis.
Specifically,
study
seeks
answer
research
questions
about
whether
existing
can
reliably
differentiate
between
human-written
ChatGPT-generated
text,
machine
translation
obfuscation
techniques
affect
text.
covers
12
publicly
available
two
commercial
systems
(Turnitin
PlagiarismCheck)
that
are
widely
used
setting.
researchers
conclude
neither
accurate
nor
reliable
a
main
bias
towards
classifying
output
as
rather
than
detecting
Furthermore,
significantly
worsen
performance
tools.
makes
several
significant
contributions.
First,
it
summarises
up-to-date
similar
scientific
non-scientific
field.
Second,
presents
result
one
most
comprehensive
tests
conducted
so
far,
rigorous
methodology,
original
document
set,
broad
coverage
Third,
discusses
implications
drawbacks
using
settings.
Journal of University Teaching and Learning Practice,
Journal Year:
2024,
Volume and Issue:
21(06)
Published: April 19, 2024
Recent
developments
in
Generative
Artificial
Intelligence
(GenAI)
have
created
a
paradigm
shift
multiple
areas
of
society,
and
the
use
these
technologies
is
likely
to
become
defining
feature
education
coming
decades.
GenAI
offers
transformative
pedagogical
opportunities,
while
simultaneously
posing
ethical
academic
challenges.
Against
this
backdrop,
we
outline
practical,
simple,
sufficiently
comprehensive
tool
allow
for
integration
tools
into
educational
assessment:
AI
Assessment
Scale
(AIAS).
The
AIAS
empowers
educators
select
appropriate
level
usage
assessments
based
on
learning
outcomes
they
seek
address.
greater
clarity
transparency
students
educators,
provides
fair
equitable
policy
institutions
work
with,
nuanced
approach
which
embraces
opportunities
recognising
that
there
are
instances
where
such
may
not
be
pedagogically
or
necessary.
By
adopting
flexible
can
implemented
quickly,
form
much-needed
starting
point
address
current
uncertainty
anxiety
regarding
education.
As
secondary
objective,
engage
with
literature
advocate
refocused
discourse
education,
one
foregrounds
how
help
support
enhance
teaching
learning,
contrasts
focus
as
facilitator
misconduct.
Policy and Society,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 12, 2024
Abstract
Two
critical
policy
questions
will
determine
the
impact
of
generative
artificial
intelligence
(AI)
on
knowledge
economy
and
creative
sector.
The
first
concerns
how
we
think
about
training
such
models—in
particular,
whether
creators
or
owners
data
that
are
“scraped”
(lawfully
unlawfully,
with
without
permission)
should
be
compensated
for
use.
second
question
revolves
around
ownership
output
generated
by
AI,
which
is
continually
improving
in
quality
scale.
These
topics
fall
realm
intellectual
property,
a
legal
framework
designed
to
incentivize
reward
only
human
creativity
innovation.
For
some
years,
however,
Britain
has
maintained
distinct
category
“computer-generated”
outputs;
input
issue,
EU
Singapore
have
recently
introduced
exceptions
allowing
text
mining
computational
analysis
existing
works.
This
article
explores
broader
implications
these
choices,
weighing
advantages
reducing
cost
content
creation
value
expertise
against
potential
risk
various
careers
sectors
economy,
might
rendered
unsustainable.
Lessons
may
found
music
industry,
also
went
through
period
unrestrained
piracy
early
digital
era,
epitomized
rise
file-sharing
service
Napster.
Similar
litigation
legislation
help
navigate
present
uncertainty,
along
an
emerging
market
“legitimate”
models
respect
copyright
humans
clear
provenance
their
own
creations.
2022 International Conference on Inventive Computation Technologies (ICICT),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 24, 2024
This
research
study
explores
the
crucial
domain
of
upholding
textual
authenticity
by
introducing
a
comprehensive
method
for
identifying
AI-generated
content,
employing
BERT
(Bidirectional
Encoder
Representations
from
Transformers).
In
time
when
Artificial
Intelligence
(AI)
significantly
shapes
written
communication,
it
becomes
imperative
to
differentiate
between
text
produced
humans
and
that
generated
machines.
The
proposed
approach
utilizes
capabilities
delving
into
contextual
embedding,
revealing
complex
patterns
serve
as
indicators
AI
origin.
Through
meticulous
experimentation
evaluation,
we
substantiate
effectiveness
our
in
precisely
discerning
text.
contribution
adds
ongoing
endeavors
safeguard
integrity
human-authored
content
ever-evolving
digital
landscape.
Education Sciences,
Journal Year:
2024,
Volume and Issue:
14(6), P. 643 - 643
Published: June 14, 2024
The
increasing
use
of
artificial
intelligence
(AI)
in
education
has
raised
questions
about
the
implications
ChatGPT
for
teaching
and
learning.
A
systematic
literature
review
was
conducted
to
answer
these
questions,
analyzing
112
scholarly
articles
identify
potential
benefits
challenges
related
educational
settings.
selection
process
thorough
ensure
a
comprehensive
analysis
current
academic
discourse
on
AI
tools
education.
Our
research
sheds
light
significant
impact
improving
student
engagement
accessibility
critical
issues
that
need
be
considered,
including
concerns
quality
bias
generated
responses,
risk
plagiarism,
authenticity
content.
study
aims
summarize
utilizations
learning
by
addressing
identified
through
targeted
strategies.
authors
outlined
some
recommendations
will
integration
into
frameworks
enhances
outcomes
while
safeguarding
standards.
Frontiers in Psychiatry,
Journal Year:
2024,
Volume and Issue:
15
Published: March 8, 2024
The
advent
and
growing
popularity
of
generative
artificial
intelligence
(GenAI)
holds
the
potential
to
revolutionise
AI
applications
in
forensic
psychiatry
criminal
justice,
which
traditionally
relied
on
discriminative
algorithms.
Generative
models
mark
a
significant
shift
from
previously
prevailing
paradigm
through
their
ability
generate
seemingly
new
realistic
data
analyse
integrate
vast
amount
unstructured
content
different
formats.
This
extends
beyond
reshaping
conventional
practices,
like
risk
assessment,
diagnostic
support,
treatment
rehabilitation
plans,
creating
opportunities
underexplored
areas,
such
as
training
education.
paper
examines
transformative
impact
justice.
First,
it
introduces
its
prevalent
models.
Following
this,
reviews
current
psychiatry.
Subsequently,
presents
thorough
exploration
transform
established
practices
introduce
novel
multimodal
models,
generation
augmentation.
Finally,
provides
comprehensive
overview
ethical
legal
issues
associated
with
deploying
focusing
individuals
well
broader
societal
implications.
In
conclusion,
this
aims
contribute
ongoing
discourse
concerning
dynamic
challenges
contexts,
highlighting
opportunities,
risks,
challenges.
It
advocates
for
interdisciplinary
collaboration
emphasises
necessity
thorough,
responsible
evaluations
before
widespread
adoption
into
domains
where
decisions
substantial
life-altering
consequences
are
routinely
made.