Modernizing the Charitable Sector through Artificial Intelligence: Enhancing Efficiency and Impact
Journal of Ecohumanism,
Год журнала:
2024,
Номер
3(4), С. 3426 - 3443
Опубликована: Авг. 28, 2024
The
proposed
research
explores
the
transformative
potential
of
artificial
intelligence
(AI)
in
modernizing
charitable
sector.
Initiative
aims
to
address
critical
gaps
program
delivery,
resource
allocation,
and
impact
assessment,
ultimately
enhancing
efficiency
effectiveness
humanitarian
aid.
study
argues
that
AI
can
revolutionize
disaster
response
by
predicting
natural
disasters,
improve
educational
outcomes
through
personalized
learning
platforms,
enhance
public
health
monitoring
forecasting
disease
outbreaks.
Furthermore,
optimize
food
distribution
systems,
reducing
waste
ensuring
timely
delivery.
also
emphasizes
urgent
need
develop
a
digital
safety
framework
protect
children
youth
from
online
risks,
exacerbated
rapid
proliferation
technologies.
methodology
includes
comprehensive
data
collection
various
sectors,
followed
development
testing
models
tailored
specific
needs,
such
as
prediction
education.
involves
stakeholder
engagement
ensure
practical
applicability
ethical
implementation
solutions.
Expected
results
include
use,
improved
impact,
safer
environment
for
vulnerable
populations.
project
set
precedent
integration
Язык: Английский
Harnessing Artificial Intelligence (AI) to Mitigate Food Waste: Innovative Strategies for Sustainable Consumption
Malaysian Journal of Social Sciences and Humanities (MJSSH),
Год журнала:
2024,
Номер
9(12), С. e003147 - e003147
Опубликована: Дек. 28, 2024
The
capacity
of
artificial
intelligence
(AI)
to
transform
food
waste
management
is
rooted
in
its
capability
analyse
extensive
data
sets
and
enhance
processes
throughout
the
supply
chain.
Despite
potential
AI
management,
many
organisations
consumers
remain
uninformed
about
capabilities
innovative
strategies
it
can
provide
effectively
reduce
waste.
This
study
aimed
review
for
sustainable
consumption
by
harnessing
mitigate
employed
a
analysis
as
methodological
approach
synthesise
existing
literature
on
intersection
management.
revealed
several
waste,
including:
(a)
smart
inventory
management;
(b)
recipe
suggestions
based
available
ingredients;
(c)
automated
tracking;
(d)
predictive
analytics
meal
preparation;
(e)
consumer
behaviour
insights.
In
conclusion,
utilising
offers
viable
strategy
promoting
practices
Future
research
should
prioritise
longitudinal
analyses
assess
long-term
effectiveness
interventions
across
sectors
including
agriculture,
retail,
hospitality.
Язык: Английский