Deleted Journal,
Год журнала:
2024,
Номер
17(1), С. 193 - 205
Опубликована: Ноя. 30, 2024
There
are
peculiar
ethical
concerns
that
have
emerged
with
the
advent
of
Artificial
intelligence
(AI),
which
adversely
affect
human
wellbeing
and
governance.
The
issues
include
manipulative
use
AI
for
electoral,
campaign
administrative
purposes,
politics
Others
privacy
invasion,
deep
fake,
misinformation,
cyber
security
threats,
job
loss,
opacity
unjustified
actions
bias
by
AI.
study
argues
usage
various
including
governance
purposes
wellbeing,
can
be
addressed
significantly
through
enshrining
operational
effective
financing
makes
clarifications
between
‘ethical
AI’
‘AI
governance’,
critiquing
erroneous
latter
to
imply
former.
It
submits
while
allows
upholds
in
era
AI,
alongside
unethical
adoption
creates
room
ineffective
negligence
wellbeing.
recommends
government
every
nation
should
prudent,
human-centered,
its
purposes.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
108, С. 105516 - 105516
Опубликована: Май 9, 2024
Emerging
smarter
eco-cities,
inherently
intertwined
with
environmental
governance,
function
as
experimental
sites
for
testing
novel
technological
solutions
and
implementing
reforms
aimed
at
addressing
complex
challenges.
However,
despite
significant
progress
in
understanding
the
distinct
roles
of
emerging
data-driven
governance
systems—namely
City
Brain,
Smart
Urban
Metabolism
(SUM),
platform
urbanism—enabled
by
Artificial
Intelligence
Things
(AIoT),
a
critical
gap
persists
systematically
exploring
untapped
potential
stemming
from
their
synergistic
collaborative
integration
context
urban
governance.
To
fill
this
gap,
study
aims
to
explore
linchpin
AIoT
seamlessly
integrating
these
systems
advance
eco-cities.
Specifically,
it
introduces
pioneering
framework
that
effectively
leverages
synergies
among
AIoT-powered
enhance
sustainability
practices
In
developing
framework,
employs
configurative
aggregative
synthesis
approaches
through
an
extensive
literature
review
in-depth
case
analysis
publications
spanning
2018
2023.
The
identifies
key
factors
driving
co-evolution
AI
IoT
into
specifies
technical
components
constituting
architecture
A
comparative
reveals
commonalities
differences
SUM,
urbanism
within
frameworks
These
collectively
contribute
eco-cities
leveraging
real-time
data
analytics,
predictive
modeling,
stakeholder
engagement.
proposed
underscores
importance
decision-making,
optimization
resource
management,
reduction
impact,
collaboration
stakeholders,
engagement
citizens,
formulation
evidence-based
policies.
findings
unveils
presents
promising
opportunities
prospects
advancing
not
only
charts
strategic
trajectory
stimulating
research
endeavors
but
also
holds
practical
application
informed
policymaking
realm
ongoing
discussions
refinements
remain
imperative
address
identified
challenges,
ensuring
framework's
robustness,
ethical
soundness,
applicability
across
diverse
contexts.
Abstract
The
digital
transformation
of
modern
cities
by
integrating
advanced
information,
communication,
and
computing
technologies
has
marked
the
epoch
data-driven
smart
city
applications
for
efficient
sustainable
urban
management.
Despite
their
effectiveness,
these
often
rely
on
massive
amounts
high-dimensional
multi-domain
data
monitoring
characterizing
different
sub-systems,
presenting
challenges
in
application
areas
that
are
limited
quality
availability,
as
well
costly
efforts
generating
scenarios
design
alternatives.
As
an
emerging
research
area
deep
learning,
Generative
Artificial
Intelligence
(GenAI)
models
have
demonstrated
unique
values
content
generation.
This
paper
aims
to
explore
innovative
integration
GenAI
techniques
twins
address
planning
management
built
environments
with
focuses
various
such
transportation,
energy,
water,
building
infrastructure.
survey
starts
introduction
cutting-edge
generative
AI
models,
Adversarial
Networks
(GAN),
Variational
Autoencoders
(VAEs),
Pre-trained
Transformer
(GPT),
followed
a
scoping
review
existing
science
leverage
intelligent
autonomous
capability
facilitate
research,
operations,
critical
subsystems,
holistic
environment.
Based
review,
we
discuss
potential
opportunities
technical
strategies
integrate
into
next-generation
more
intelligent,
scalable,
automated
development
Smart Cities,
Год журнала:
2024,
Номер
7(4), С. 1576 - 1625
Опубликована: Июнь 28, 2024
In
an
era
marked
by
rapid
technological
progress,
the
pivotal
role
of
Artificial
Intelligence
(AI)
is
increasingly
evident
across
various
sectors,
including
local
governments.
These
governmental
bodies
are
progressively
leveraging
AI
technologies
to
enhance
service
delivery
their
communities,
ranging
from
simple
task
automation
more
complex
engineering
endeavours.
As
governments
adopt
AI,
it
imperative
understand
functions,
implications,
and
consequences
these
advanced
technologies.
Despite
growing
importance
this
domain,
a
significant
gap
persists
within
scholarly
discourse.
This
study
aims
bridge
void
exploring
applications
context
government
provision.
Through
inquiry,
seeks
generate
best
practice
lessons
for
smart
city
initiatives.
By
conducting
comprehensive
review
grey
literature,
we
analysed
262
real-world
implementations
170
worldwide.
The
findings
underscore
several
key
points:
(a)
there
has
been
consistent
upward
trajectory
in
adoption
over
last
decade;
(b)
China,
US,
UK
at
forefront
adoption;
(c)
among
technologies,
natural
language
processing
robotic
process
emerge
as
most
prevalent
ones;
(d)
primarily
deploy
28
distinct
services;
(e)
information
management,
back-office
work,
transportation
traffic
management
leading
domains
terms
adoption.
enriches
existing
body
knowledge
providing
overview
current
sphere
governance.
It
offers
valuable
insights
policymakers
decision-makers
considering
adoption,
expansion,
or
refinement
urban
Additionally,
highlights
using
guide
successful
integration
optimisation
future
projects,
ensuring
they
meet
evolving
needs
communities.
Information,
Год журнала:
2024,
Номер
15(6), С. 342 - 342
Опубликована: Июнь 10, 2024
Cybersecurity
is
a
crucial
concern
for
local
governments
as
they
serve
the
primary
interface
between
public
and
government
services,
managing
sensitive
data
critical
infrastructure.
While
technical
safeguards
are
integral
to
cybersecurity,
role
of
well-structured
policy
equally
important
it
provides
structured
guidance
translate
requirements
into
actionable
protocols.
This
study
reviews
governments’
cybersecurity
policies
provide
comprehensive
assessment
how
these
align
with
National
Institute
Standards
Technology’s
Framework
2.0,
which
widely
adopted
commonly
used
framework.
review
offers
mirror
reflect
on
their
stance,
identifying
potential
vulnerabilities
areas
needing
urgent
attention.
further
extends
development
framework,
can
use
strategic
tool.
It
valuable
information
elements
that
must
incorporate
protect
confidential
Advances in public policy and administration (APPA) book series,
Год журнала:
2025,
Номер
unknown, С. 95 - 122
Опубликована: Фев. 14, 2025
This
chapter
examines
how
AI
might
alter
public
administration
by
improving
efficiency,
accessibility,
and
decision-making.
automates
ordinary
jobs,
freeing
up
servants
for
high-impact
work.
Predictive
analytics
improve
government
operations
offering
data-driven
insights
resource
allocation
preemptive
actions
in
healthcare,
urban
planning,
safety.
Chatbots
virtual
assistants
make
services
more
accessible
to
different
populations,
especially
those
with
linguistic
or
physical
obstacles.
The
also
highlights
the
ethical
operational
issues
of
administration.
Due
data
privacy,
security,
algorithmic
bias,
deployment
must
be
transparent,
accountable,
fair.
Public
entities
can
ethically
use
following
governance
guidelines
gaining
trust.
emphasizes
balanced
establish
an
inclusive,
efficient,
citizen-centered,
adaptable
sector.
Designs,
Год журнала:
2025,
Номер
9(2), С. 47 - 47
Опубликована: Апрель 11, 2025
Light
detection
and
ranging
(LiDAR)
sensors
are
critical
for
autonomous
vehicles
that
require
unparalleled
depth
sensing.
However,
traditional
LiDAR
designs
face
significant
challenges,
including
high
costs
bulky
configurations,
limiting
scalability
mass-market
adoption.
By
uniquely
combining
patent
scientometric
analysis,
this
study
screened
188
recent
patents
from
a
dataset
of
more
than
two
million
patents,
uncovering
strategies
to
enhance
capability
reduce
production
costs.
The
key
findings
highlight
the
growing
emphasis
on
solid-state
architectures,
modular
designs,
integrated
manufacturing
processes
as
pathways
scalable
efficient
solutions.
These
insights
bridge
gap
between
scientific
advancements
practical
implementation,
providing
stakeholders
with
clear
understanding
technological
landscape
emerging
trends.
identifying
future
directions
actionable
opportunities,
work
supports
development
next-generation
systems,
fostering
innovation
enabling
broader
adoption
across
other
sectors.
