Societal Impacts,
Год журнала:
2024,
Номер
3, С. 100040 - 100040
Опубликована: Янв. 29, 2024
Artificial
intelligence
(AI)
is
quickly
changing
the
way
we
work
and
live.
The
emergence
of
ChatGPT
has
thrust
AI,
especially
Generative
into
spotlight.
societal
impact
AI
on
most
people's
minds.
This
article
presents
several
research
projects
how
impacts
society.
Three
works
are
discussed
in
this
article.
first
study
develops
a
theoretical
framework
structuring
legal
ethical
objectives
that
needed
means
to
achieve
them.
second
concentrates
bias
discrimination
issues
embedded
applications.
It
focuses
enhancing
collaboration
between
users
systems
alleviate
issues.
third
governance
will
design
develop
an
integrated
help
guide
development
applications
facilitate
evolutions
revolutions
systems.
International Journal of Educational Technology in Higher Education,
Год журнала:
2024,
Номер
21(1)
Опубликована: Фев. 26, 2024
Abstract
The
present
discussion
examines
the
transformative
impact
of
Artificial
Intelligence
(AI)
in
educational
settings,
focusing
on
necessity
for
AI
literacy,
prompt
engineering
proficiency,
and
enhanced
critical
thinking
skills.
introduction
into
education
marks
a
significant
departure
from
conventional
teaching
methods,
offering
personalized
learning
support
diverse
requirements,
including
students
with
special
needs.
However,
this
integration
presents
challenges,
need
comprehensive
educator
training
curriculum
adaptation
to
align
societal
structures.
literacy
is
identified
as
crucial,
encompassing
an
understanding
technologies
their
broader
impacts.
Prompt
highlighted
key
skill
eliciting
specific
responses
systems,
thereby
enriching
experiences
promoting
thinking.
There
detailed
analysis
strategies
embedding
these
skills
within
curricula
pedagogical
practices.
This
discussed
through
case-study
based
Swiss
university
narrative
literature
review,
followed
by
practical
suggestions
how
implement
classroom.
Journal of Medical Internet Research,
Год журнала:
2024,
Номер
26, С. e53008 - e53008
Опубликована: Март 8, 2024
As
advances
in
artificial
intelligence
(AI)
continue
to
transform
and
revolutionize
the
field
of
medicine,
understanding
potential
uses
generative
AI
health
care
becomes
increasingly
important.
Generative
AI,
including
models
such
as
adversarial
networks
large
language
models,
shows
promise
transforming
medical
diagnostics,
research,
treatment
planning,
patient
care.
However,
these
data-intensive
systems
pose
new
threats
protected
information.
This
Viewpoint
paper
aims
explore
various
categories
care,
drug
discovery,
virtual
assistants,
clinical
decision
support,
while
identifying
security
privacy
within
each
phase
life
cycle
(ie,
data
collection,
model
development,
implementation
phases).
The
objectives
this
study
were
analyze
current
state
identify
opportunities
challenges
posed
by
integrating
technologies
into
existing
infrastructure,
propose
strategies
for
mitigating
risks.
highlights
importance
addressing
associated
with
ensure
safe
effective
use
systems.
findings
can
inform
development
future
help
organizations
better
understand
benefits
risks
By
examining
cases
across
diverse
domains
contributes
theoretical
discussions
surrounding
ethics,
vulnerabilities,
regulations.
In
addition,
provides
practical
insights
stakeholders
looking
adopt
solutions
their
organizations.
Smart Learning Environments,
Год журнала:
2024,
Номер
11(1)
Опубликована: Июнь 18, 2024
Abstract
The
growing
integration
of
artificial
intelligence
(AI)
dialogue
systems
within
educational
and
research
settings
highlights
the
importance
learning
aids.
Despite
examination
ethical
concerns
associated
with
these
technologies,
there
is
a
noticeable
gap
in
investigations
on
how
issues
AI
contribute
to
students’
over-reliance
systems,
such
affects
cognitive
abilities.
Overreliance
occurs
when
users
accept
AI-generated
recommendations
without
question,
leading
errors
task
performance
context
decision-making.
This
typically
arises
individuals
struggle
assess
reliability
or
much
trust
place
its
suggestions.
systematic
review
investigates
particularly
those
embedded
generative
models
for
academic
learning,
their
critical
capabilities
including
decision-making,
thinking,
analytical
reasoning.
By
using
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines,
our
evaluated
body
literature
addressing
contributing
factors
effects
contexts.
comprehensive
spanned
14
articles
retrieved
from
four
distinguished
databases:
ProQuest,
IEEE
Xplore,
ScienceDirect,
Web
Science.
Our
findings
indicate
that
stemming
impacts
abilities,
as
increasingly
favor
fast
optimal
solutions
over
slow
ones
constrained
by
practicality.
tendency
explains
why
prefer
efficient
shortcuts,
heuristics,
even
amidst
presented
technologies.
Sustainability,
Год журнала:
2024,
Номер
16(3), С. 1166 - 1166
Опубликована: Янв. 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.
Advances in higher education and professional development book series,
Год журнала:
2023,
Номер
unknown, С. 133 - 161
Опубликована: Дек. 30, 2023
Generative
artificial
intelligence
(AI)
can
revolutionize
K-12
education
in
India
by
enhancing
curriculums
and
pedagogies.
This
chapter
explores
the
principles
of
generative
AI,
including
adversarial
networks
(GANs),
variational
autoencoders
(VAEs),
natural
language
generation
(NLG),
its
potential
to
create
content
indistinguishable
from
human-generated
materials.
AI
addresses
challenges
like
resource
scarcity,
linguistic
diversity,
personalized
learning
experiences,
while
emphasizing
ethical
considerations,
data
privacy,
bridging
digital
divide.
The
future
will
see
journeys,
inclusivity,
empowered
educators.
A
comprehensive
policy
framework,
infrastructure
support,
teacher
training
are
needed
realize
full
shaping
educational
landscape.
The
emergence
of
generative
artificial
intelligence
(AI),
exemplified
by
ChatGPT,
has
fundamentally
transformed
numerous
sectors
amplifying
operational
efficiency,
output,
and
customer
satisfaction.
However,
effectively
integrating
such
sophisticated
AI
systems,
especially
in
manufacturing,
finance,
retail,
transportation,
construction,
demands
concerted
efforts
from
cross-functional
teams.
This
investigation
delves
into
the
indispensable
role
played
these
teams
ensuring
seamless
integration
ChatGPT
akin
technologies
across
diverse
fields.
In
research
underscores
vital
significance
collaboration
between
specialists,
industrial
engineers,
production
managers
to
optimize
manufacturing
processes,
preemptive
maintenance,
quality
assurance.
finance
sector,
study
highlights
essential
synergy
data
scientists,
regulatory
experts,
financial
analysts
harness
ChatGPT's
complete
potential
automating
tasks,
detecting
fraud,
providing
personalized
interactions.
For
retail
industry,
this
accentuates
necessity
collaborative
marketing
strategists,
user
experience
designers,
developers
utilizing
for
targeted
campaigns,
virtual
shopping
assistants,
instantaneous
support.
It
explores
how
can
facilitate
assimilation
boost
engagement,
inventory
management,
predict
consumer
trends,
thereby
propelling
business
growth
competitive
advantage.
transportation
imperative
planners,
software
developers,
experts
leveraging
efficient
route
planning,
predictive
vehicle
real-time
logistics
oversight.
construction
importance
cohesive
among
architects,
civil
programmers
project
design
enhancement,
risk
mitigation.
By
promoting
collaboration,
effective
communication,
cross-domain
expertise,
are
instrumental
harnessing
transformative
AI,
industries
toward
a
more
efficient,
sustainable,
technologically
advanced
future.
Heliyon,
Год журнала:
2024,
Номер
10(8), С. e29523 - e29523
Опубликована: Апрель 1, 2024
The
advancement
of
artificial
intelligence
(AI)
and
the
ubiquity
social
media
have
become
transformative
agents
in
contemporary
educational
ecosystems.
spotlight
this
inquiry
focuses
on
nexus
between
AI
usage
relation
to
academic
performance
mental
well-being,
role
smart
learning
facilitating
these
relationships.
Using
partial
least
squares-structural
equation
modeling
(PLS-SEM)
a
sample
401
Chinese
university
students.
study
results
reveal
that
both
positive
impact
well-being
among
Furthermore,
serves
as
mediating
variable,
amplifying
beneficial
effects
well-being.
These
revelations
contribute
discourse
technology-enhanced
education,
showing
embracing
can
student
Electronics,
Год журнала:
2024,
Номер
13(2), С. 269 - 269
Опубликована: Янв. 7, 2024
The
evolution
of
digital
technologies
has
resulted
in
the
emergence
diverse
interaction
technologies.
In
this
paper,
we
conducted
a
review
seven
domains
under
human-centric
approach
user
interface
design,
human-centered
web-based
information
systems,
semantic
knowledge
representation,
X-reality
applications,
human
motion
and
3D
digitization,
serious
games,
AI.
review,
studied
these
concerning
their
impact
on
way
interact
with
interfaces,
process
information,
engage
immersive
experiences.
As
such,
highlighted
shifts
design
paradigms,
user-centered
principles,
rise
systems.
results
such
are
materialized
modern
technologies,
facilitation
artificial
intelligence
for
interactions.
Through
exploration,
aimed
to
assist
our
understanding
challenges
that
lie
ahead.
seamless
integration
ethical
considerations,
accessibility,
education
technological
literacy,
interoperability,
trust,
environmental
sustainability,
regulatory
frameworks
becoming
significant.
These
present
opportunities
future
enrich
experiences
while
addressing
societal
needs.
This
paper
lays
groundwork
thoughtful
innovative
approaches
will
define
human–computer
