Frontiers in Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
6
Published: Jan. 15, 2024
The
functions
of
human
resource
management
(HRM)
have
changed
radically
in
the
past
20
years
due
to
market
and
technological
forces,
becoming
more
cross-functional
data-driven.
In
age
AI,
role
HRM
professionals
organizations
continues
evolve.
Artificial
intelligence
(AI)
is
transforming
many
practices
throughout
creating
system
process
efficiencies,
performing
advanced
data
analysis,
contributing
value
creation
organization.
A
growing
body
evidence
highlights
benefits
AI
brings
field
HRM.
Despite
increased
interest
AI-HRM
scholarship,
focus
on
human-AI
interaction
at
work
AI-based
technologies
for
limited
fragmented.
Moreover,
lack
considerations
tech
design
deployment
can
hamper
digital
transformation
efforts.
This
paper
provides
a
contemporary
forward-looking
perspective
strategic
human-centric
plays
within
as
becomes
integrated
workplace.
Spanning
three
distinct
phases
integration
(technocratic,
integrated,
fully-embedded),
it
examines
technical,
human,
ethical
challenges
each
phase
suggestions
how
overcome
them
using
approach.
Our
importance
evolving
AI-driven
organization
roadmap
bring
humans
machines
closer
together
Journal of Business Logistics,
Journal Year:
2023,
Volume and Issue:
44(4), P. 532 - 549
Published: Sept. 29, 2023
Abstract
The
dawn
of
generative
artificial
intelligence
(AI)
has
the
potential
to
transform
logistics
and
supply
chain
management
radically.
However,
this
promising
innovation
is
met
with
a
scholarly
discourse
grappling
an
interplay
between
capabilities
drawbacks.
This
conversation
frequently
includes
dystopian
forecasts
mass
unemployment
detrimental
repercussions
concerning
academic
research
integrity.
Despite
current
hype,
existing
exploring
intersection
AI
(L&SCM)
sector
remains
limited.
Therefore,
editorial
seeks
fill
void,
synthesizing
applications
within
L&SCM
domain
alongside
analysis
implementation
challenges.
In
doing
so,
we
propose
robust
framework
as
primer
roadmap
for
future
research.
will
give
researchers
organizations
comprehensive
insights
strategies
navigate
complex
yet
landscape
integration
domain.
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 26839 - 26874
Published: Jan. 1, 2024
Large
Language
Models
(LLMs)
recently
demonstrated
extraordinary
capability,
including
natural
language
processing
(NLP),
translation,
text
generation,
question
answering,
etc.
Moreover,
LLMs
are
a
new
and
essential
part
of
computerized
processing,
having
the
ability
to
understand
complex
verbal
patterns
generate
coherent
appropriate
replies
for
situation.
Though
this
success
has
prompted
substantial
increase
in
research
contributions,
rapid
growth
made
it
difficult
overall
impact
these
improvements.
Since
lot
on
is
coming
out
quickly,
getting
tough
get
an
overview
all
them
short
note.
Consequently,
community
would
benefit
from
but
thorough
review
recent
changes
area.
This
article
thoroughly
overviews
LLMs,
their
history,
architectures,
transformers,
resources,
training
methods,
applications,
impacts,
challenges,
paper
begins
by
discussing
fundamental
concepts
with
its
traditional
pipeline
phase.
It
then
provides
existing
works,
history
evolution
over
time,
architecture
transformers
different
resources
methods
that
have
been
used
train
them.
also
datasets
utilized
studies.
After
that,
discusses
wide
range
applications
biomedical
healthcare,
education,
social,
business,
agriculture.
illustrates
how
create
society
shape
future
AI
they
can
be
solve
real-world
problems.
Then
explores
open
issues
challenges
deploying
scenario.
Our
aims
help
practitioners,
researchers,
experts
pre-trained
goals.
International Journal of Educational Technology in Higher Education,
Journal Year:
2024,
Volume and Issue:
21(1)
Published: March 25, 2024
Abstract
In
recent
years,
higher
education
(HE)
globally
has
witnessed
extensive
adoption
of
technology,
particularly
in
teaching
and
research.
The
emergence
generative
Artificial
Intelligence
(GenAI)
further
accelerates
this
trend.
However,
the
increasing
sophistication
GenAI
tools
raised
concerns
about
their
potential
to
automate
research
processes.
Despite
widespread
on
various
fields,
there
is
a
lack
multicultural
perspectives
its
impact
HE.
This
study
addresses
gap
by
examining
usage,
benefits,
from
standpoint.
We
employed
an
online
survey
that
collected
responses
1217
participants
across
76
countries,
encompassing
broad
range
gender
categories,
academic
disciplines,
geographical
locations,
cultural
orientations.
Our
findings
revealed
high
level
awareness
familiarity
with
among
respondents.
A
significant
portion
had
prior
experience
expressed
intention
continue
using
these
tools,
primarily
for
information
retrieval
text
paraphrasing.
emphasizes
importance
integration
education,
highlighting
both
benefits
concerns.
Notably,
strong
correlation
between
dimensions
respondents’
views
related
GenAI,
including
as
dishonesty
need
ethical
guidelines.
We,
therefore,
argued
responsible
use
can
enhance
learning
processes,
but
addressing
may
require
robust
policies
are
responsive
expectations.
discussed
offered
recommendations
researchers,
educators,
policymakers,
aiming
promote
effective
education.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1166 - 1166
Published: Jan. 30, 2024
In
this
review,
utilizing
the
PRISMA
methodology,
a
comprehensive
analysis
of
use
Generative
Artificial
Intelligence
(GAI)
across
diverse
professional
sectors
is
presented,
drawing
from
159
selected
research
publications.
This
study
provides
an
insightful
overview
impact
GAI
on
enhancing
institutional
performance
and
work
productivity,
with
specific
focus
including
academia,
research,
technology,
communications,
agriculture,
government,
business.
It
highlights
critical
role
in
navigating
AI
challenges,
ethical
considerations,
importance
analytical
thinking
these
domains.
The
conducts
detailed
content
analysis,
uncovering
significant
trends
gaps
current
applications
projecting
future
prospects.
A
key
aspect
bibliometric
which
identifies
dominant
tools
like
Chatbots
Conversational
Agents,
notably
ChatGPT,
as
central
to
GAI’s
evolution.
findings
indicate
robust
accelerating
trend
expected
continue
through
2024
beyond.
Additionally,
points
potential
directions,
emphasizing
need
for
improved
design
strategic
long-term
planning,
particularly
assessing
its
user
experience
various
fields.
Cogent Education,
Journal Year:
2023,
Volume and Issue:
11(1)
Published: Dec. 4, 2023
This
study
aimed
to
provide
an
in-depth
understanding
of
English
as
a
Foreign
Language
(EFL)
students'
perceptions
concerning
both
the
benefits
and
limitations
Artificial
Intelligence
(AI)
in
context
critical
thinking.
Utilizing
qualitative
research
design
that
focuses
on
case
studies
employs
semi-structured
interviews,
seven
master's
degree
students
from
two
different
Indonesian
universities
were
purposively
selected
for
sample.
The
findings
revealed
complex
view
thinking
involves
questioning
norms,
analyzing
context,
evaluating
evidence.
Students
acknowledged
AI's
utility
enriching
various
facets
thinking,
such
academic
theory
scrutiny.
However,
concerns
also
raised
about
limitations,
including
lack
personalization,
potential
echo
chambers,
difficulties
nuanced
understanding.
concludes
AI
can
be
asset
development
skills,
but
with
caveats
require
careful
management.
A
balanced
approach
capitalizes
strengths
while
being
aware
its
is
necessary
cultivating
robust
abilities
among
EFL
students.
Limitations
include
reliance
self-reported
data,
which
may
introduce
biases,
heterogeneity
participants'
backgrounds,
affecting
generalizability.
Future
consider
more
objective
measures
observations
or
psychometric
tests,
investigate
pedagogical
methods
integrating
applications
effectively.
BenchCouncil Transactions on Benchmarks Standards and Evaluations,
Journal Year:
2023,
Volume and Issue:
3(3), P. 100140 - 100140
Published: Sept. 1, 2023
The
study
addresses
the
potential
benefits
for
companies
of
adopting
ChatGPT,
a
popular
chatbot
built
on
large-scale
transformer-based
language
model
known
as
generative
pre-trained
transformer
(GPT).
Chatbots
like
ChatGPT
may
improve
customer
service,
handle
several
client
inquiries
at
once,
and
save
operational
costs.
Moreover,
automate
regular
processes
order
tracking
billing,
allowing
human
employees
to
focus
more
complex
strategic
responsibilities.
Nevertheless,
before
deploying
enterprises
must
carefully
analyze
its
use
cases
restrictions,
well
strengths
disadvantages.
example,
requires
training
data
that
is
particular
business
domain
might
produce
erroneous
ambiguous
findings.
identifies
areas
deployment
ChatGPT's
possible
in
by
drawing
literature
currently
accessible
massive
models,
artificial
intelligence.
Then,
using
PSI
(Preference
Selection
Index)
COPRAS
(Complex
Proportional
Assessment)
approaches,
advantages
are
taken
into
account
prioritized.
By
highlighting
current
trends
industry,
this
editorial
seeks
provide
insight
present
state
employing
research.
also
learn
biases
from
create
replies
reinforce
those
biases.
As
result,
train
fine-tune
specific
operations,
set
explicit
boundaries
limitations
use,
implement
appropriate
security
measures
avoid
malicious
input.
highlights
research
gap
dearth
outlining
businesses,
analyzing
limits,
offering
insights
how
organizations
capabilities
enhance
their
operations.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
The
incorporation
of
ChatGPT
and
other
Large
Language
Models
(LLMs)
has
transformed
the
landscape
Business
Management
across
various
sectors.
This
research
delves
into
multifaceted
roles
these
advanced
AI
technologies
play
in
optimizing
different
aspects
business
management.
facilitates
smooth
communication,
automates
customer
support,
generates
leads,
offers
personalized
experiences,
enhancing
relationship
management
from
relations
to
market
analysis.
Additionally,
financial
analysis
forecasting,
LLMs
assist
businesses
interpreting
data,
enabling
data-driven
decision-making
precise
planning.
study
explores
challenges
faced
by
when
integrating
areas
Ethical
concerns,
such
as
data
privacy
algorithmic
biases,
necessitate
careful
consideration,
urging
maintain
transparency
fairness
their
AI-driven
interactions.
Moreover,
human
resource
management,
aid
talent
acquisition,
employee
training,
performance
analysis,
revolutionizing
HR
processes.
Furthermore,
investigates
transformative
potential
similar
fostering
innovation
creativity
within
By
automating
routine
tasks
supply
chain
logistics,
employees
can
concentrate
on
strategic
planning
innovation,
thereby
operational
efficiency
competitiveness.
highlights
significant
impact
diverse
fields
While
emphasizing
benefits,
it
underscores
importance
for
navigate
challenges,
promote
ethical
practices,
empower
workforce
fully
utilize
an
ever-evolving
landscape.
Management Learning,
Journal Year:
2023,
Volume and Issue:
54(5), P. 597 - 604
Published: Oct. 6, 2023
In
this
editorial,
we
identify
some
of
the
opportunities
and
consequences
generative
artificial
intelligence
for
academia.
We
discuss
how
will
affect
three
main
areas
an
academic’s
job
responsibilities:
research,
teaching
service.
To
animate
our
ideas,
offer
illustrative
examples
impact
each
these
areas.
Further
recognizing
that
poses
both
academia
from
a
management
learning
perspective,
use
represent
positive
negative
outcome
resultant
to
academic
responsibility.