Management,
Journal Year:
2023,
Volume and Issue:
1, P. 6 - 6
Published: Dec. 19, 2023
The
health
crisis
triggered
by
COVID-19
forced
a
restructuring
of
the
education
system
tomaintain
flow
learning
and
ensure
continuity
education.
In
response
to
thissituation,
Ministry
Education
Peru,
through
its
Undersecretary
EducationalFoundations,
launched
interdisciplinary
project
initiatives
that
educators
should
execute
withtheir
students
virtually.
After
overcoming
critical
phase
pandemic
in
educatorsmaintained
implementation
this
type
projects,
which
were
integrated
with
keycompetencies
into
curriculum.
However,
difficulty
arose:
lack
preparation
ofteachers
approach
teaching
from
an
perspective,
opting
instead
formultidisciplinary
approaches.
This
scenario
led
development
research
thepurpose
examining
application
interdisciplinarity
multidisciplinarity
theeducational
field
after
pandemic.
For
this,
documentary
descriptive
researchapproach
was
adopted,
using
analytical-synthetic
method.
Google
Forms
used
todistribute
survey
Likert
scale
42
teachers
educational
unit
Lima,selected
non-probability
sampling
for
convenience.
information
collected
wasorganized
tables
facilitate
analysis
discussion
findings,
indicatedthat
use
prevails,
attributed
need
strengthentheir
skills
collaborative
work
Multidisciplinar,
Journal Year:
2024,
Volume and Issue:
1, P. 14 - 14
Published: July 25, 2024
Human
talent
and
artificial
intelligence
have
been
closely
related,
having
a
great
impact
on
the
performance
productivity
of
today's
organizations.
In
this
research
work,
we
sought
to
identify
challenges
posed
by
implementation
tools
in
human
management,
such
as
data
privacy,
discrimination
automated
decision
making,
through
review
scientific
literature,
main
objective.
To
develop
it,
sources
articles,
magazines
previous
carried
out
topic
last
ten
years
were
used,
with
which
it
was
possible
use
AI
for
selection
retention
talent,
development
skills
skills,
addition
benefiting
well-being
collaborators;
but
also
disadvantages
its
privacy
growing
concern
about
job
replacement.
Concluding,
take
full
advantage
benefits
minimize
problems
associated
is
necessary
clear
transparent
regulations,
encouraging
collaboration
knowledge
employees
ensuring
ethics
AI.
within
organization
Management,
Journal Year:
2024,
Volume and Issue:
1, P. 17 - 17
Published: July 25, 2024
The
impact
generated
by
artificial
intelligence
(AI)
on
companies
radically
transforms
current
business
dynamics.
In
this
work,
we
sought
to
identify
the
benefits
of
implementation
revolutionary
technology
in
companies.
Its
development
and
execution
achieves
notable
improvements
operational
efficiency,
decision
making,
continuous
innovation
service
personalization,
latter
being
a
crucial
factor
for
customer
satisfaction.
To
these
benefits,
different
research
documents
were
used,
where
it
was
established,
that
is
fundamental
success
company,
because
not
only
generates
with
automation
optimization
routine
tasks,
but
also
most
efficient
use.
resources,
generating
significant
reduction
operating
costs
LatIA,
Journal Year:
2024,
Volume and Issue:
2, P. 11 - 11
Published: July 23, 2024
Artificial
Intelligence
(AI)
transforms
the
social
sciences
by
providing
new
methodologies
and
tools
for
data
analysis.
This
article
was
based
on
a
comprehensive
literature
review
that
analyzed
role
of
artificial
intelligence
as
an
analytical
tool
in
sciences.
It
observed
ability
AI
to
process
text,
images,
audio
integrated
manner
allows
researchers
address
complex
problems
with
greater
accuracy
efficiency.
Multimodal
facilitate
analysis
large
volumes
data,
interpretation
financial
documents,
evaluation
facial
expressions,
which
improves
decision
making
research.
Specialized
databases
offer
access
wide
range
optimize
tasks
such
review,
collection
visualization
results.
In
addition,
safety
ethics
use
are
key
priorities,
creation
alliances
regulatory
frameworks
ensure
responsible
safe
development
these
technologies.
Initiatives
Safety
Alliance
European
Union's
Act
set
global
standards
ethical
AI,
safeguarding
both
individuals
society
at
large.
Multidisciplinar,
Journal Year:
2024,
Volume and Issue:
1, P. 15 - 15
Published: July 25, 2024
This
article
reviews
the
advances,
benefits
and
contributions
of
artificial
intelligence
to
business
organizations,
without
ignoring
need
for
skilled
human
labor
talent
that
companies
have
always
required
which
is
essential
economic
development
a
company.
The
implementation
legal
frameworks
regulations
will
in
turn
address
issues
such
as
organizational
privacy,
cybersecurity
liability
are
important
aspects
be
addressed
this
article.
Thus,
paper
focuses
on
compilation
scientific
articles,
books
other
texts
topics
were
evidenced
(i).
-
Innovation
invention,
(ii).
Big
Data,
(iii).
-Implementation
(iv).
-legality
responsibility
decisions,
likewise,
it
examines
challenges
AI
highlights
smart
contracts
technological
innovation
allows
secure,
fast
low-risk
transactions
using
blockchain
technology,
why
literature
review
aims
explore
how
communication
tools
can
facilitate
work
population,
decreasing
time
spent
some
activities
Management,
Journal Year:
2023,
Volume and Issue:
1, P. 16 - 16
Published: Dec. 15, 2023
Over
time
and
part
of
the
recent
events
left
by
last
pandemic,
importance
job
stability
becomes
increasingly
relevant,
some
jobs
have
been
recovered,
others
replaced,
or
organizations
reduce
their
staff,
using
technology
to
replace
positions,
thus
do
not
require
a
human
resource.
The
demand
for
skills
access
position
is
increasing,
academic
work
experience,
career
age,
which
are
determining
factors,
on
other
hand
cost
living,
has
also
had
significant
growth,
this
leads
people
idealize
themselves
job.
,
they
must
maintain
due
economic
balance
that
represents,
despite
all
these
continue
leave
jobs,
personnel
turnover
within
company
continues
strong
impact,
becoming
an
intriguing
fact;
What
may
be
happening
companies
so
employees
abandon
what
those
factors
employee
make
decision
adrift,
taking
into
account
directly
affects
needs?
there
different
components,
both
internal
external
LatIA,
Journal Year:
2023,
Volume and Issue:
1, P. 4 - 4
Published: Dec. 12, 2023
The
integration
of
Artificial
Intelligence
(AI)
is
revolutionizing
qualitative
research
by
optimizing
data
collection
and
analysis.
Tools
such
as
machine
learning
natural
language
processing
enable
the
analysis
large
volumes
information
with
precision
speed,
facilitating
identification
patterns
trends.
adoption
virtual
methods,
online
focus
groups
video
interviews,
has
overcome
geographical
barriers,
enabling
participation
diverse
representative
samples,
in
addition
to
being
more
cost-effective
allowing
real-time
acquisition.
incorporation
advanced
biometric
techniques,
eye
tracking,
facial
expression
analysis,
neuroimaging,
provides
a
holistic
accurate
understanding
consumers'
emotional
subconscious
responses.
These
innovations
allow
companies
adapt
their
marketing
strategies
product
designs
effectively,
enhancing
personalization
resonance
experiences
offered.
LatIA,
Journal Year:
2024,
Volume and Issue:
1, P. 26 - 26
Published: July 27, 2024
The
integration
of
artificial
intelligence
(AI)
in
the
field
psychology
is
significantly
transforming
diagnosis
and
intervention
mental
disorders.
Deep
learning
techniques
enable
analysis
large
volumes
data,
such
as
neuroimages
electroencephalograms
(EEG),
to
identify
diagnose
psychiatric
conditions
with
greater
precision.
These
technologies
also
facilitate
early
detection
risk
factors
by
analyzing
data
from
social
networks
electronic
medical
records,
enabling
personalized
interventions.
AI-based
chatbots
mobile
applications
democratize
access
psychological
therapy,
providing
real-time
support
improving
management
anxiety
depression.
Additionally,
AI
optimizes
administrative
tasks
enhances
training
new
clinicians
through
platforms
virtual
simulators,
contributing
better
preparedness
efficiency
healthcare
system.
innovations
not
only
improve
quality
treatment
but
more
proactive
patient-centered
care
Data & Metadata,
Journal Year:
2025,
Volume and Issue:
4, P. 866 - 866
Published: March 6, 2025
The
objective
of
this
article
was
to
explore
managerial
trends
and
the
implementation
artificial
intelligence
in
university
management,
with
a
particular
focus
on
Latin
American
context.
To
end,
mixed
study
designed,
operationalized
through
documentary
review
bibliometric
procedures,
qualitative
thematic
analysis,
triangulation
system,
an
integration
data
supported
by
external
sources.
results
were
organized
into
five
management
strategies,
three
emerging
trends,
recommendations
for
managers,
main
themes.
These
reflect
significant
progress,
but
also
pose
challenges,
especially
regions
structural
inequalities
resource
constraints.
analyzed
indicate
need
balanced
approach
that
combines
technological
innovation
ethical
social
considerations.
Furthermore,
findings
emphasize
importance
international
collaboration
local
capacity
building
ensure
equitable
sustainable
AI.
It
is
concluded
it
cardinal
underline
potential
AI
transform
higher
education,
provided
technical,
ethical,
challenges
are
addressed
comprehensively.
LatIA,
Journal Year:
2023,
Volume and Issue:
1, P. 2 - 2
Published: Dec. 10, 2023
Artificial
Intelligence
(AI)
transforms
teaching
and
learning
processes
by
personalizing
educational
content
according
to
individual
students'
needs,
thus
enhancing
their
performance
motivation.
Tools
like
SlidesAI
Tome
facilitate
the
creation
of
efficient
resources,
although
quality
privacy
generated
data
need
be
addressed.
AI
also
enables
interactive
immersive
environments,
such
as
simulations
games,
that
adapt
in
real-time
actions.
These
environments
provide
richer
more
practical
experiences.
Additionally,
multilingual
videos
with
avatars
enhances
accessibility
customization
learning.
However,
ensuring
equitable
access
these
technologies
is
crucial
avoid
inequalities.
As
demonstrated,
offers
multiple
benefits
for
education
but
requires
careful
implementation
maximize
its
advantages
mitigate
potential
risks.
LatIA,
Journal Year:
2023,
Volume and Issue:
1, P. 3 - 3
Published: Dec. 10, 2023
The
integration
of
artificial
intelligence
(AI)
in
telemedicine
is
revolutionizing
the
provision
healthcare
services,
especially
rural
areas.
These
technologies
enable
overcoming
geographical
and
resource
barriers,
facilitating
precise
diagnoses,
personalized
recommendations,
continuous
monitoring
through
portable
devices.
AI
systems
analyze
patient
data
suggest
most
appropriate
care
options
based
on
their
health
profile,
thus
optimizing
efficiency
system
improving
satisfaction.
In
addition,
automation
administrative
tasks
frees
up
time
for
professionals
to
concentrate
direct
care.
To
ensure
trust
effectiveness
these
technologies,
it
essential
implement
clinically
validated
unbiased
algorithms,
while
fostering
transparency
collaboration
among
developers,
professionals,
regulators.
Therefore,
applied
offers
a
revolutionary
opportunity
improve
accessibility
quality
areas
by
promoting
more
equitable
efficient