Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 297 - 332
Опубликована: Сен. 27, 2024
The
chapter
dives
into
the
complicated
interaction
between
moral
contemplations
and
online
behavior
inside
virtual
communities.
It
investigates
advancing
challenges
confronted
by
clients,
stage
suppliers,
mediators
in
keeping
up
guidelines
cultivating
positive
intelligent
advanced
spaces.
Through
a
comprehensive
examination
of
key
standards,
such
as
security
assurance,
substance
balance,
algorithmic
inclination,
computerized
consideration,
highlights
complex
ethical
problems
inborn
overseeing
Drawing
upon
real-world
cases
insightful
inquiries,
it
illustrates
multifaceted
nature
decision-making
situations.
underscores
significance
maintaining
values
amid
mechanical
headways
societal
shifts.
Moreover,
emphasizes
need
for
proactive
measures
carefulness
to
address
issues
badgering,
deception,
imbalance.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 225 - 248
Опубликована: Сен. 6, 2024
The
chapter
dives
into
the
multi-layered
crossing
point
of
artificial
brainpower
(artificial
intelligence)
and
computational
knowledge
inside
system
Society
5.0.
It
explores
moral
aspects
innate
in
sending
use
cutting-edge
innovations,
underlining
vital
significance
rules
moulding
cultural
direction.
Recognizing
extraordinary
capability
computer-based
intelligence,
section
fundamentally
looks
at
its
positive
negative
suggestions
on
different
parts
human
existence,
including
financial
matters,
administration,
medical
care,
training.
Inside
setting
5.0,
described
by
incorporation
internet
actual
space,
examines
advancing
social
elements
impacted
intelligence
insight.
highlights
need
for
systems
to
alleviate
potential
dangers
like
algorithmic
inclination,
loss
security,
intensifying
disparities.
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 59 - 84
Опубликована: Сен. 6, 2024
This
chapter
delves
into
the
critical
topic
of
promoting
digital
citizenship
in
Society
5.0,
specifically
through
lens
Artificial
Intelligence
(AI)
and
Computer
(CI)
education.
As
our
world
becomes
increasingly
digitized
AI-driven,
it
is
essential
to
equip
individuals
with
knowledge,
skills,
ethical
understanding
navigate
this
landscape
responsibly.
The
explores
various
educational
strategies,
innovative
curricula,
pedagogical
approaches
that
promote
literacy,
ethics,
inclusion.
Drawing
on
successful
training
programs,
case
studies,
theoretical
insights,
provides
a
blueprint
for
integrating
AI
CI
education
across
disciplines
levels.
Real-world
examples
such
as
AI4K12
initiative
AI4ALL
organization
demonstrate
effective
diversity
field.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 213 - 240
Опубликована: Янв. 24, 2025
Agriculture
is
the
major
source
of
income
for
rural
community.
When
agriculture
merges
with
tourism
sector,
a
new
sphere
activity
created,
known
as
agritourism.
The
technology
involved
in
artificial
intelligence
has
created
gathering
momentum
every
field
activity.
Artificial
techniques
help
to
improve
farming
activities
and
visitors
also
feel
enhance
their
tourist
experience,
thereby
leading
behavioural
intention.
Hence,
primary
purpose
this
book
chapter
know
concepts
agritourism,
describe
importance
AI
identify
benefits
stakeholders,
pinpoint
barriers
integration
agritourism
case
studies
related
application
industry.
Thus,
using
not
only
helps
have
memorable
experiences,
but
local
community
gets
advantage
sustainability
terms
social,
economic,
environmental
aspects.
Advances in higher education and professional development book series,
Год журнала:
2024,
Номер
unknown, С. 479 - 512
Опубликована: Сен. 20, 2024
This
chapter
examines
the
central
role
of
diversity
and
inclusion
in
improving
team
outcomes
higher
education.
By
leveraging
diverse
perspectives,
experiences,
talents
members,
colleges
can
foster
innovation,
promote
collaboration,
academic
excellence.
The
discussion
will
address
key
principles,
strategies
practices
for
realizing
potential
inclusive
teams,
including
communication,
leadership,
intercultural
competence
equity-focused
initiatives.
Through
an
analysis
case
studies,
best
practices,
future
trends,
highlights
transformative
impact
teams
on
research,
teaching,
institutional
culture.
In
addition,
it
explores
challenges
opportunities
associated
with
building
maintaining
continued
importance
as
drivers
excellence
a
rapidly
changing
global
environment.
Advances in business information systems and analytics book series,
Год журнала:
2024,
Номер
unknown, С. 95 - 120
Опубликована: Окт. 15, 2024
This
chapter
examines
how
emerging
technologies
are
transforming
modern
business
operations.
It
focuses
on
big
data
analytics,
the
Internet
of
Things
(IoT),
artificial
intelligence
(AI),
and
blockchain
all
work
together
to
boost
innovation,
efficiency,
decision-making.
The
demonstrates
advantages
disadvantages
technological
adoption
through
in-depth
analysis
case
studies,
such
as
financial
implications,
security
concerns,
workforce
disruptions.
stresses
significance
change
management
strategic
planning
for
successfully
navigating
digital
transformation.
In
addition,
promotes
equitable
inclusive
access
technology
addresses
ethical
social
repercussions
advancements.
it
suggests
directions
future
research
with
a
focus
advanced
cybersecurity
measures,
cost-effective
implementation
strategies,
effective
management.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 385 - 418
Опубликована: Янв. 24, 2025
Over
the
past
century,
transportation
evolved
from
carriages
to
steam
engines
and
then
Internal
Combustion
Engine
Vehicles
(ICEVs).
Despite
advancements,
ICEVs
have
significantly
contributed
environmental
pollution
greenhouse
gas
emissions.
Electric
(EVs)
emerged
as
a
quieter,
simpler
alternative
but
faced
limitations
in
cost
application.
Recently,
Artificial
Intelligence
(AI)
integration
EVs
has
enhanced
safety,
efficiency,
sustainability.
This
chapter
explores
how
AI,
applied
logistics,
improves
sustainability
by
enhancing
energy
management,
range
estimation,
charging
efficiency.
AI
also
optimizes
reducing
emissions
costs.
However,
challenges
like
privacy,
data
security,
ethical
concerns
persist.
The
concludes
with
future
trends
AI-driven
sustainable
transportation,
highlighting
ongoing
research
emerging
technologies
that
promise
more
resilient
system.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 297 - 318
Опубликована: Янв. 24, 2025
Artificial
intelligence
(AI)
is
receiving
more
and
attention
as
Industry
4.0
progresses
because
of
its
ability
to
solve
particularly
challenging
challenges
in
chemical
engineering
industrial
chemistry.
Consequently,
this
study
offers
a
summary
how
artificial
techniques—specifically,
machine
learning—have
been
applied
recent
years
design,
synthesis,
process
optimisation.
We
conclude
by
talking
about
the
difficulties
prospects
for
AI
production
chemicals.
Through
promotion
sustainable
development,
has
potential
revolutionise
way
world
deals
with
threat
posed
climate
change
humankind.
There
no
going
back
sustainability.
Chemistry
will
be
essential
helping
economy
reach
net-zero
emissions
companies
shift
from
using
fossil
fuels
renewable
energy
sources.
has,
fact,
always
at
forefront
development
new
or
improved
materials
meet
society
expectations
produce
commodities
proper
physical
properties.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 43 - 72
Опубликована: Янв. 24, 2025
Artificial
Intelligence
(AI)
is
gaining
greater
acknowledgement
as
a
potent
tool
in
the
advancement
of
Sustainable
Development
Goals
(SDGs)
set
forth
by
United
Nations.
This
article
delves
into
role
played
AI
humanitarian
aid
activities
across
range
SDGs,
such
reducing
poverty,
eradicating
hunger,
improving
healthcare,
increasing
educational
opportunities,
promoting
gender
equality,
and
environmental
sustainability.
Through
use
for
predictive
analysis,
tailored
services,
optimized
resource
allocation,
significant
progress
can
be
achieved
tackling
global
challenges.
The
integration
these
areas
not
only
enhances
efficiency
effectiveness
but
also
fosters
innovation
sustainable
development.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 145 - 174
Опубликована: Янв. 24, 2025
The
incorporation
of
Artificial
Intelligence
(AI)
into
agriculture
has
triggered
a
paradigm
shift,
transforming
traditional
farming
practices
and
paving
the
way
for
unparalleled
efficiency,
sustainability
productivity.
Precision
is
at
vanguard
this
technological
transformation,
with
AI-driven
algorithms
analyzing
massive
datasets
containing
soil
parameters,
weather
patterns,
crop
health
metrics
to
deliver
actionable
insights.
Farmers
may
precisely
monitor
manage
their
crops
in
real
time
by
deploying
drones,
satellites,
IoT
sensors,
thereby
maximizing
resource
allocation
reducing
environmental
impact.
In
addition,
AI-powered
forecast
analytics
machine
learning
models
enable
farmers
yield
potential,
anticipate
outbreaks
diseases
pests,
optimize
planting
schedules
unprecedented
precision.
This
chapter
digs
AI's
diverse
transformational
real-world
applications
agriculture,
highlighting
its
critical
role
tackling
current
difficulties
creating
new
opportunities.
Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 73 - 114
Опубликована: Янв. 24, 2025
This
chapter
examines
using
artificial
intelligence
(AI)
and
deep
learning
(DL)
in
disaster
management.
It
describes
a
paradigm
shift
towards
proactive
measures
preventing
managing
natural
disasters.
Traditional,
reactive
methods
often
reach
their
limits.
At
the
same
time,
AI-based
approaches
can
improve
early
warning
systems
allocate
resources
more
efficiently
through
analysis
of
large,
heterogeneous
data
sets
ability
to
recognize
complex
patterns.
The
article
highlights
application
DL
models,
such
as
Convolutional
Neural
Networks
(CNNs),
analyze
satellite
imagery
utility
response.
Both
technical
ethical
challenges
are
discussed,
particularly
protection,
bias,
transparency
models.
Finally,
framework
is
presented
that
provides
guidelines
for
effective
responsible
use
AI
management
promotes
long-term
sustainability
fairness
this
area.
