Despite
the
potential
benefits
of
generative
Artificial
Intelligence
(genAI),
concerns
about
its
psy-chological
impact
on
medical
students,
especially
with
regard
to
job
displacement,
are
apparent.
This
pilot
study,
conducted
in
Jordan
during
July–August
2024,
aimed
examine
specific
fears,
anxieties,
mistrust,
and
ethical
students
could
harbor
towards
genAI.
Using
a
cross-sectional
survey
design,
data
were
collected
from
164
studying
across
various
academic
years,
employing
structured
self-administered
questionnaire
an
internally
consistent
FAME
scale—representing
Fear,
Anxiety,
Mistrust,
Ethics
comprising
12
items,
three
items
for
each
construct.
The
results
indicated
variable
levels
anxiety
genAI
among
participating
students:
34.1%
reported
no
role
their
future
careers
(n
=
56),
while
41.5%
slightly
anxious
61),
22.0%
somewhat
36),
2.4%
extremely
4).
Among
constructs,
Mistrust
was
most
agreed
upon
(mean:
12.35±2.78),
followed
by
construct
10.86±2.90),
Fear
9.49±3.53),
Anxiety
8.91±3.68).
Sex,
level,
Grade
Point
Average
(GPA)
did
not
significantly
affect
students’
perceptions
However,
there
notable
direct
association
between
general
elevated
scores
constructs
scale.
Prior
exposure
previous
use
modify
These
findings
highlighted
critical
need
refined
educational
strategies
address
integration
training.
demonstrated
pervasive
anxiety,
fear,
regarding
deployment
healthcare,
indicating
necessity
curriculum
modifi-cations
that
focus
specifically
these
areas.
Interventions
should
be
tailored
increase
familiarity
competency,
which
would
alleviate
apprehension
equip
physicians
engage
this
inevitable
technology
effectively.
study
also
importance
incorporating
discussions
into
courses
mistrust
human-centered
aspects
Conclusively,
calls
proactive
evolution
education
prepare
AI-driven
healthcare
practices
shortly
ensure
well-prepared,
confident,
ethically
informed
professional
interactions
technologies.
Sustainability,
Год журнала:
2023,
Номер
15(8), С. 6655 - 6655
Опубликована: Апрель 14, 2023
Artificial
intelligence
(AI)
has
entered
the
mainstream
as
computing
power
improved.
The
healthcare
industry
is
undergoing
dramatic
transformations
at
present.
One
of
most
recent
industries
to
heavily
use
AI
telehealth,
which
used
for
anything
from
issuing
electronic
cards
providing
individual
counselling.
influencing
telehealth
in
United
States
a
major
way.
Using
allow
clinicians
make
real-time,
data-driven
rich
choices
critical
offering
better
patient
experience
and
improved
health
outcomes
practitioners
strive
toward
expanding
virtual
care
options
along
continuum.
Research
medical
started
AI’s
strengths
data
processing
analysis
reflecting
widespread
adoption
other
sectors.
Because
difficulties
inherent
telemedicine’s
deployment,
there
an
urgent
need
broaden
its
capabilities
enhance
processes
so
that
they
may
be
tailored
address
particular
issues.
This
article
aimed
study
different
areas
telemedicine
analyze
effect
field
medicine.
literature
surveyed
this
demonstrates
infinite
growth
potential
afforded
by
combination
telemedicine.
There
are
four
main
directions
technology
heading:
monitoring,
IT,
intelligent
aid
diagnosis,
information
with
specialists.
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 408 - 420
Опубликована: Июнь 3, 2024
Rapid
technical
breakthroughs
and
economic
upheavals
in
the
modern
labour
market
require
constantly
evolving
workforce
capabilities.
This
change
is
sparked
by
AI,
which
introduces
individualised
learning
paths
transforms
conventional
training
methods.
study
explores
how
artificial
intelligence
(AI)
uses
machine
algorithms
natural
language
processing
to
create
personalised
programmes
identify
skill
gaps.Analysing
AI's
capacity
deliver
customised
experiences,
abstract
probes
AI
systems
adjust
different
learners'
preferences
for
speed,
style,
degree
of
expertise.
It
intelligent
tutoring
systems,
AI-powered
recommendation
engines,
adaptive
emphasising
their
function
selecting
tailored
information
according
student
performance
preferences.
Case
examples
from
real
world
demonstrate
can
improve
worker
various
sectors
scalable
flexible
it
be
huge
organisations
small
medium-sized
businesses.
BMC Medical Ethics,
Год журнала:
2024,
Номер
25(1)
Опубликована: Май 16, 2024
Abstract
Background
Integrating
artificial
intelligence
(AI)
into
healthcare
has
raised
significant
ethical
concerns.
In
pharmacy
practice,
AI
offers
promising
advances
but
also
poses
challenges.
Methods
A
cross-sectional
study
was
conducted
in
countries
from
the
Middle
East
and
North
Africa
(MENA)
region
on
501
professionals.
12-item
online
questionnaire
assessed
concerns
related
to
adoption
of
practice.
Demographic
factors
associated
with
were
analyzed
via
SPSS
v.27
software
using
appropriate
statistical
tests.
Results
Participants
expressed
about
patient
data
privacy
(58.9%),
cybersecurity
threats
potential
job
displacement
(62.9%),
lack
legal
regulation
(67.0%).
Tech-savviness
basic
understanding
correlated
higher
concern
scores
(
p
<
0.001).
Ethical
implications
include
need
for
informed
consent,
beneficence,
justice,
transparency
use
AI.
Conclusion
The
findings
emphasize
importance
guidelines,
education,
autonomy
adopting
Collaboration,
privacy,
equitable
access
are
crucial
responsible
Journal of Global Information Management,
Год журнала:
2025,
Номер
32(1), С. 1 - 31
Опубликована: Янв. 4, 2025
This
study
employs
Systematic
Literature
Review
(SLR)
and
thematic
analysis
to
explore
the
topics
of
Artificial
Intelligence
(AI),
Stakeholder
Engagement
(SE)
social
innovation.
To
enhance
methodological
rigor,
integrated
literature
media
recognize
within
texts
using
Latent
Dirichlet
Allocation
(LDA),
an
unsupervised
machine
learning
method.
The
highlights
AI's
influence
on
engagement,
aligning
with
diffusion
theory,
stressing
need
emphasize
benefits
for
faster
adoption.
Journal of Business Strategy,
Год журнала:
2023,
Номер
45(3), С. 214 - 220
Опубликована: Июль 4, 2023
Purpose
This
paper
aims
to
demonstrate
how
the
new
generative
artificial
intelligence
(AI)
tool
ChatGPT
changes
knowledge
work
for
individuals
and
what
are
implications
of
this
change
companies.
Design/methodology/approach
Based
on
22
interviews
from
informants
across
different
industries,
authors
conducted
an
inductive
analysis
use
utility
in
work.
initial
analysis,
they
discovered
ways
which
either
augments
human
agency,
makes
it
redundant
or
lacks
capability
that
regard.
Findings
The
develop
a
2
×
framework
algorithmic
assistance,
demonstrates
four
(and
AI
general)
interacts
with
workers,
depending
usefulness
particular
tasks
type
task
(routine
vs
creative).
Practical
insights
interviews,
propose
set
actionable
questions
individual
workers
companies
viewpoints:
skills
capabilities;
team
structure
workflow
coordination;
culture
mindset;
business
model
innovation.
Originality/value
To
best
authors’
knowledge,
study
is
among
first
identify
analyze
by
industries.
Sustainability,
Год журнала:
2023,
Номер
15(9), С. 7205 - 7205
Опубликована: Апрель 26, 2023
Organizations
see
open
innovation
as
important
to
their
future
growth
strategy.
The
increasing
interest
in
artificial
intelligence
has
led
a
heightened
its
potential
applications
many
industries.
Many
firms
invest
heavily
intending
innovate
business
models,
though
managers
often
lack
understanding
when
trying
implement
operations.
data
was
retrieved
from
the
Scopus
database
and
analyzed
using
R
Bibliometrix
Biblioshiny
VOSviewer
software.
aim
of
article
is
indicate
consistency
formation
processes
while
applying
provide
profile
perspectives
on
adoption
management.
This
paper
provides
deeper
perception
how
it
can
be
used
drive
model
within
use
management
innovation.
authors
discuss
recent
advances
have
created
new
opportunities
for
increased
external
collaboration.
study
found
that
rise
key
technology
promoting
openness
collaboration
ushered
era
achievable
Our
presented
findings
suggest
sequence
powered
by
insights
into
application
Review of Education,
Год журнала:
2023,
Номер
11(3)
Опубликована: Окт. 30, 2023
Abstract
Recent
developments
in
language
models,
such
as
ChatGPT,
have
sparked
debate.
These
tools
can
help,
for
example,
dyslexic
people,
to
write
formal
emails
from
a
prompt
and
be
used
by
students
generate
assessed
work.
Proponents
argue
that
models
enhance
the
student
experience
academic
achievement.
Those
concerned
impede
learning
call
cautious
approach
their
adoption.
This
paper
aims
provide
insights
into
role
of
reshaping
assessment
higher
education.
For
purpose,
it
probes
impact
specifically
on
assessment.
It
also
explores
implications
education
settings,
focusing
effects
pedagogy
evaluation.
Using
Scopus
database,
search
protocol
was
employed
identify
25
articles
based
relevant
keywords
selection
criteria.
The
developed
themes
suggest
may
alter
how
learn
are
assessed.
While
information
problem‐solving
critical
thinking,
reliance
them
without
evaluation
adversely
impacts
learning.
Language
teaching
material
evaluate
responses,
but
should
limited
‘play
specific
defined
role’.
Integration
is
only
helpful
if
educators
play
an
active
effective
checking
generated
material's
validity,
reliability
accuracy.
Propositions
potential
research
questions
included
encourage
future
research.
Abstract
The
advent
of
Industry
4.0
technologies,
encompassing
the
Internet
Things
(IoT),
Big
data
analytics,
artificial
intelligence
(AI),
blockchain,
location-based
services,
and
virtual
augmented
(VR/AR)
reality
systems,
has
revolutionized
tourism
landscape,
automating
production
service
delivery.
As
momentum
propels
us
toward
tourism-specific
concept
Tourism
4.0,
questions
arise
about
ability
humans
to
keep
pace
with
rapid
technological
advancements
ensure
these
innovations
genuinely
benefit
society.
ongoing
debate
prompts
a
call
for
humanizing
echoed
in
emerging
5.0,
advocating
more
responsible
humane
technology
approaches.
Concurrently,
voices
championing
5.0
emphasize
need
align
diverse
human
needs
enhance
accessibility
inclusive
meaningful
travel
experience.
Through
this
chapter,
we
endeavor
establish
Tourist
as
holistic
alternative
prevailing
digital
practices
within
typically
limited
task-focused
sector.
This
chapter
critically
examines
evolution
from
drawing
parallels
5.0.
central
focus
is
placed
on
imperative
accessibility,
exploring
how
it
takes
precedence
latest
developments
contributes
creation
fulfilling
experiences.