European Journal of Technology,
Journal Year:
2024,
Volume and Issue:
8(1), P. 1 - 13
Published: Jan. 4, 2024
Purpose:
This
paper
seeks
to
define
a
risk
taxonomy,
establish
meaningful
controls,
and
create
prospective
harms
model
for
AI
risks
in
healthcare.
Currently,
there
is
no
known
comprehensive
definition
of
risks,
as
applied
industry
society.
Materials
Methods:
The
temptation
current
research,
both
academia
industry,
apply
exclusively-tech-based
solutions
these
complex
problems;
however,
this
view
myopic,
can
be
remedied
by
establishing
effective
controls
informed
holistic
approach
managing
risk.
Sociotechnical
Systems
Theory
(STS)
an
attractive
theoretical
lens
issue,
because
it
prevents
collapsing
multifaceted
problem
into
one-dimensional
solution.
Specifically,
the
multidisciplinary
approach—one
that
includes
sciences
humanities—reveals
multidimensional
technology-society
interaction,
exemplified
advent
AI.
Findings:
After
advancing
utilizes
management
framework
Lean
Six
Sigma
(LSS)
propose
mitigating
identified
risks.
LSS
determines
through
data
collection
analysis,
supports
data-driven
decision
making
professionals.
Implications
Theory,
Practice
Policy:
Instantiating
theory
STS
practices
could
critical,
then,
determining
real-world
from
In
summary,
combines
academic
sociotechnical
systems
with
practice
develop
hybrid
fill
gap
literature.
Drawing
upon
ensures
robust,
use
International Journal of Information Management,
Journal Year:
2023,
Volume and Issue:
74, P. 102700 - 102700
Published: Sept. 9, 2023
This
article
explores
ethical
issues
raised
by
generative
conversational
AI
systems
like
ChatGPT.
It
applies
established
approaches
for
analysing
ethics
of
emerging
technologies
to
undertake
a
systematic
review
possible
benefits
and
concerns.
The
methodology
combines
identified
Anticipatory
Technology
Ethics,
Ethical
Impact
Assessment,
Issues
Emerging
ICT
Applications
with
AI-specific
from
the
literature.
These
are
applied
analyse
ChatGPT's
capabilities
produce
humanlike
text
interact
seamlessly.
analysis
finds
ChatGPT
could
provide
high-level
societal
benefits.
However,
it
also
raises
significant
concerns
across
social
justice,
individual
autonomy,
cultural
identity,
environmental
issues.
Key
high-impact
include
responsibility,
inclusion,
cohesion,
safety,
bias,
accountability,
impacts.
While
current
discourse
focuses
narrowly
on
specific
such
as
authorship,
this
systematically
uncovers
broader,
more
balanced
range
worthy
attention.
Findings
consistent
research
industry
priorities
AI.
Implications
need
diverse
stakeholder
engagement,
considering
risks
holistically
when
developing
applications,
multi-level
policy
interventions
promote
positive
outcomes.
Overall,
demonstrates
that
applying
technology
methodologies
can
rigorous,
comprehensive
foundation
guide
action
around
impactful
paper
advocates
sustaining
broad,
perspective
use
cases
unfold
realize
while
addressing
downsides.
Bartın University Journal of Faculty of Education,
Journal Year:
2024,
Volume and Issue:
13(2), P. 232 - 244
Published: March 21, 2024
Artificial
Intelligence
(AI)
technologies
are
rapidly
advancing
and
causing
profound
transformations
in
all
aspects
of
life.
In
particular,
the
widespread
adoption
generative
AI
systems
like
ChatGPT
is
taking
this
transformation
to
even
more
dramatic
dimensions.
context,
most
comprehensive
impact
observed
educational
systems.
Educational
systems,
on
one
hand,
faced
with
urgent
need
restructure
education
response
skill
changes
professions
caused
by
proliferation
such
labor
market.
On
other
challenging
questions
arise
about
whether
what
extent
these
should
be
integrated
into
education,
how
they
if
at
all,
ethical
issues
arising
from
can
addressed.
This
study
evaluates
potential
benefits
possible
risks
using
perspectives
students,
teachers,
administrators.
Therefore,
discusses
uses
as
well
may
pose.
Policy
recommendations
developed
maximize
while
mitigating
cause.
Additionally,
emphasizes
importance
increasing
literacy
for
stakeholders.
It
suggests
that
raising
awareness
both
contribute
enhancing
minimizing
their
harms.
Journal of Decision System,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 29
Published: Oct. 10, 2024
This
study
conducts
a
bibliometric
analysis
of
the
evolution
ethics,
transparency,
and
explainability
in
generative
Artificial
Intelligence
(AI)
within
decision−making
systems
from
2004
to
2024.
Utilising
VOSviewer
Biblioshiny
tools,
literature
sourced
Scopus
Web
Science
was
analyzed
following
PRISMA
guidelines.
The
findings
highlight
rapid
expansion
AI
technologies,
particularly
since
2019,
with
growing
focus
on
ethical
frameworks,
especially
healthcare.
underlines
that
as
become
more
embedded
high-stakes
decisions,
aligning
these
societal
values
is
increasingly
urgent.
United
States
Europe
lead
contributors,
significant
insights
Asia.
Key
themes
include
AI's
challenges,
algorithmic
explainability,
gaining
prominence
during
COVID−19
pandemic.
By
identifying
trends
such
surge
chatbot
large
language
model
research,
this
research
provides
foundation
for
future
studies
informs
policy
considerations
responsible
innovation.
Problems and Perspectives in Management,
Journal Year:
2025,
Volume and Issue:
23(1), P. 101 - 114
Published: Jan. 15, 2025
One
of
the
main
challenges
in
higher
education
management
is
complexity
resource
optimization
and
increasing
volumes
data,
which
limits
efficiency
accuracy
decision-making.
The
application
artificial
intelligence
can
address
these
issues.The
present
study
aims
to
identify
key
trends,
knowledge
gaps,
opportunities
for
further
research
into
economic
effects
using
ChatGPT
tools
education.
For
this
purpose,
a
systematic
literature
review
was
conducted
screen
scientific
articles
related
topic
indexed
Web
Science
Scopus
from
1986
2024.
A
total
234
were
selected,
all
demonstrating
positive
growth
both
scholarly
output
citation
count.
identified
contributors
on
by
region
(the
United
States,
China,
India).
It
concluded
that
relevant
centers
are
still
at
an
early
stage
their
development.
Based
bibliometric
clusters
formed
co-occurrence
relations,
three
areas
defined:
1)
decision-making;
2)
process
automation
digital
transformation
educational
institutions;
3)
technologies
highlights
education,
including
reducing
administrative
costs,
saving
time
teachers
students,
improving
quality
accessibility
process.
AcknowledgmentsThe
publication
part
“Economic
Basics
Technology
Diffusion
National
Economy
Ukraine
Considering
Best
International
Practices”
(№0124U003482).
Information,
Journal Year:
2025,
Volume and Issue:
16(2), P. 104 - 104
Published: Feb. 5, 2025
ChatGPT
is
a
high-profile
technology
that
has
inspired
broad
discussions
about
its
capabilities
and
likely
consequences.
There
been
much
debate
concerning
ethical
issues
it
raises
which
are
typically
described
as
potentially
harmful
(or
beneficial)
consequences
of
ChatGPT.
Concerns
relating
to
such
privacy,
biases,
infringements
intellectual
property,
or
discrimination
widely
discussed.
The
article
pursues
the
question
where
these
originate
they
located.
This
suggests
located
in
technology’s
affordances.
Affordances
part
relationship
between
user
technology.
Going
beyond
existing
research
on
affordances
ChatGPT,
not
confined
humans
A
proper
understanding
needs
consider
role
socio-technical
ecosystem
within
relationships
unfold.
concludes
by
explaining
implications
this
position
for
practice.
Angiology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 14, 2025
Artificial
Intelligence
(AI)
has
brought
new
opportunities
in
medicine,
with
a
great
potential
to
improve
care
provided
patients.
Given
the
technical
complexity
and
continuously
evolving
field,
it
can
be
challenging
for
vascular
specialists
anticipate
foresee
how
AI
will
shape
their
practice.
The
aim
of
this
review
is
provide
an
overview
current
landscape
applications
clinical
practice
management
non-cardiac
diseases
including
aortic
aneurysm,
peripheral
artery
disease,
carotid
stenosis,
venous
diseases.
describes
highlights
three
pillars
practice,
medical
research
education.
In
limelight
these
results,
we
show
should
considered
developed
within
responsible
ecosystem
favoring
transdisciplinary
collaboration,
where
multiple
stake
holders
work
together
face
challenges
move
forward
future
directions.
The
challenge
of
managing
immigration
data
is
exacerbated
by
its
reliance
on
paper-based,
evidence-driven
records
maintained
legal
professionals,
creating
obstacles
for
efficient
processing
and
analysis
due
to
inherent
trust
issues
with
AI-based
systems.
This
paper
introduces
a
cutting-edge
framework
surmount
these
hurdles
synergizing
Large
Language
Models
(LLMs)
Knowledge
Graphs
(KGs),
revolutionizing
traditional
handling
methods.
Our
method
transforms
archaic,
paper-based
into
structured,
interconnected
knowledge
network
that
intricately
mirrors
the
procedural
nuances
immigration,
ensuring
dynamic
trustworthy
platform
analysis.
Utilizing
LLMs,
we
extract
vital
entities
relationships
from
diverse
documents
forge
comprehensive
graph,
encapsulating
complex
legalities
disparities
in
processes
mapping
multifaceted
interactions
among
stakeholders
like
applicants,
sponsors,
experts.
graph
not
only
facilitates
deep
dive
stipulations
but
also
incorporates
them,
significantly
boosting
system's
reliability
precision.
With
integration
Retrieval
Augmented
Generation
(RAG)
exact,
context-aware
retrieval
Creation
developing
conversational
interface
via
our
offers
scalable,
adaptable
solution
management.
innovative
amalgamation
KGs,
RAG
techniques
marks
paradigm
shift
towards
more
informed,
efficient,
decision-making
sphere
global
migration,
setting
new
benchmark
technology
source
