Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2023, P. 15 - 16
Published: April 8, 2023
As
artificial
intelligence
continues
its
relentless
march
towards
advancing
capability,
there
is
surprisingly
little
discussion
around
responsibility.
The
data
centers
underpinning
AI
research
devour
massive
amounts
of
energy
and
contribute
substantially
to
emissions.
But
what
if
could
flip
the
script
help
curb
emissions
instead?
An
emerging
field
known
as
Green
provides
solutions
by
building
economic
environmental
sustainability
directly
into
systems.
In
a
paper
published
this
week,
researchers
set
out
an
innovative
framework
for
leveraging
machine
learning
accelerate
transition
circular
economy.
This
model
moves
away
from
traditional
linear
take-make-dispose
economy
one
where
products,
parts,
materials
can
be
reused,
remanufactured,
recycled
in
closed
loops.
automation
will
provide
optimization
backbone
make
such
closed-loop
supply
chains
efficient
cost-effective.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(6), P. 3313 - 3313
Published: March 11, 2022
The
sustainability
of
human
existence
is
in
dire
danger
and
this
threat
applies
to
our
environment,
societies,
economies.
Smartization
cities
societies
has
the
potential
unite
individuals
nations
towards
as
it
requires
engaging
with
environments,
analyzing
them,
making
sustainable
decisions
regulated
by
triple
bottom
line
(TBL).
Poor
healthcare
systems
affect
individuals,
planet,
This
paper
proposes
a
data-driven
artificial
intelligence
(AI)
based
approach
called
Musawah
automatically
discover
services
that
can
be
developed
or
co-created
various
stakeholders
using
social
media
analysis.
case
study
focuses
on
cancer
disease
Saudi
Arabia
Twitter
data
Arabic
language.
Specifically,
we
17
machine
learning
from
Latent
Dirichlet
Allocation
algorithm
(LDA)
group
them
into
five
macro-services,
namely,
Prevention,
Treatment,
Psychological
Support,
Socioeconomic
Sustainability,
Information
Availability.
Subsequently,
show
possibility
finding
additional
employing
topical
search
over
dataset
have
discovered
42
services.
We
software
tool
scratch
for
work
implements
complete
pipeline
containing
1.35
million
tweets
curated
during
September–November
2021.
Open
service
value
freely
available
information
revolutionize
manners
similar
open-source
revolution
made
public,
government,
third
fourth
sectors,
others,
allowing
new
forms
preventions,
cures,
treatments,
support
structures.
Emerging Science Journal,
Journal Year:
2022,
Volume and Issue:
6(6), P. 1199 - 1236
Published: Sept. 13, 2022
Artificial
intelligence
(AI)
deployment
is
exceedingly
relevant
to
local
governments,
for
example,
in
planning
and
delivering
urban
services.
AI
adoption
services,
however,
an
understudied
area,
particularly
because
there
limited
knowledge
hence
a
research
gap
on
the
public's
perceptions-users/receivers
of
these
This
study
aims
examine
people’s
behaviors
preferences
regarding
most
suited
services
application
technology
challenges
governments
adopt
service
delivery.
The
methodological
approach
includes
data
collection
through
online
survey
from
Australia
Hong
Kong
statistical
analysis
binary
logistic
regression
modeling.
finds
that:
(a)
Attitudes
toward
applications
ease
use
have
significant
effects
forming
opinion
AI;
(b)
initial
thoughts
meaning
impact
areas
challenges;
(c)
perception
differences
between
two
countries
are
significant;
(d)
government
minimal.
consolidates
our
understanding
how
public
perceives
AI,
which
informs
authorities
that
deploy
or
plan
their
Doi:
10.28991ESJ-2022-06-06-01
Full
Text:
PDF
AI & Society,
Journal Year:
2022,
Volume and Issue:
39(3), P. 833 - 853
Published: Oct. 3, 2022
Artificial
intelligence
(AI)
is
not
only
disrupting
industries
and
businesses,
particularly
the
ones
have
fallen
behind
adoption,
but
also
significantly
impacting
public
life
as
well.
This
calls
for
government
authorities
pay
attention
to
opinions
sentiments
towards
AI.
Nonetheless,
there
limited
knowledge
on
what
drivers
perception
of
AI
are.
Bridging
this
gap
rationale
paper.
As
methodological
approach,
study
conducts
an
online
survey
with
residents
Sydney,
Melbourne,
Brisbane,
explores
collected
data
through
statistical
analysis.
The
analysis
reveals
that:
(a)
concerned
invading
their
privacy,
much
becoming
more
intelligent
than
humans;
(b)
trusts
in
lifestyle,
trust
lower
companies
deploying
AI;
(c)
appreciates
benefits
urban
services
disaster
management;
(d)
depending
local
context,
perceptions
vary;
(e)
include
gender,
age,
knowledge,
experience.
findings
inform
developing
policies
minimise
concerns
maximise
awareness.
Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2023, P. 15 - 16
Published: April 8, 2023
As
artificial
intelligence
continues
its
relentless
march
towards
advancing
capability,
there
is
surprisingly
little
discussion
around
responsibility.
The
data
centers
underpinning
AI
research
devour
massive
amounts
of
energy
and
contribute
substantially
to
emissions.
But
what
if
could
flip
the
script
help
curb
emissions
instead?
An
emerging
field
known
as
Green
provides
solutions
by
building
economic
environmental
sustainability
directly
into
systems.
In
a
paper
published
this
week,
researchers
set
out
an
innovative
framework
for
leveraging
machine
learning
accelerate
transition
circular
economy.
This
model
moves
away
from
traditional
linear
take-make-dispose
economy
one
where
products,
parts,
materials
can
be
reused,
remanufactured,
recycled
in
closed
loops.
automation
will
provide
optimization
backbone
make
such
closed-loop
supply
chains
efficient
cost-effective.
