Przegląd Nauk o Obronności,
Год журнала:
2024,
Номер
17, С. 80 - 91
Опубликована: Апрель 22, 2024
Objectives
The
purpose
of
this
article
is
to
present
artificial
intelligence
in
the
public
security
system
at
local
government
level
a
state.
This
answers
following
questions:
Does
have
potential
be
used
field
safety
by
administrations
authorities
and,
if
so,
are
there
successful
examples
such
applications?
Is
it
advisable
expand
understanding
include
an
area
where
AI
applied
services?
Methods
falls
within
theoretical
publication
stream.
research
tools
and
techniques
characteristic
social
sciences,
including
political
administrative
sciences
sciences.
Mainly
were
:
desk
research,
analysis
literature
,
normative
acts,
documents
strategies.
was
extended
with
statements
practitioners
from
as
representatives
administration.
Results
result
study
confirmation
both
theses
(H1
H2)
posed
science
systems.
Conclusions
states
that
has
regional
authorities,
despite
correlated
risks
arising
use
sector.
It
services.
Information Systems Frontiers,
Год журнала:
2024,
Номер
unknown
Опубликована: Фев. 21, 2024
Abstract
Public
administrators
receive
conflicting
signals
on
the
transformative
benefits
of
Artificial
Intelligence
(AI)
and
counternarratives
AI’s
ethical
impacts
society
democracy.
Against
this
backdrop,
paper
explores
factors
that
affect
sensemaking
AI
in
Canadian
public
administration.
A
mixed-method
research
design
using
PLS-SEM
(
n
=
272)
interviews
38)
tests
explains
effect
institutional
consultant
pressures
perceived
use.
The
quantitative
study
shows
only
service
coercive
have
a
significant
use
are
generating
all
pressures.
qualitative
results
highlights
underlying
mechanisms.
key
conclusion
is
earlier
stages
adoption,
demand
pull
main
driver
rather
than
technology
push.
processual
model
developed
extending
theory
institutions
sensemaking.
And
several
managerial
implications
discussed.
Public Management Review,
Год журнала:
2022,
Номер
26(4), С. 1061 - 1082
Опубликована: Ноя. 30, 2022
This
paper
sheds
light
on
how
much
citizens
value
different
features
of
public
sector
algorithms,
specifically
whether
they
prioritize
effectiveness
over
transparency
and
stakeholder
involvement
in
algorithm
design
or
instead
see
as
less
important.
It
does
so
with
choice-based
conjoint
designs
that
present
variants
algorithms
used
policing
health
care
to
respondents
from
representative
German
samples.
Two
studies
overall
more
than
3000
participants
show
people
are
ready
trade
away
for
small
gains.
Citizens
thus
seem
unlikely
demand
accountable
even
sensitive
areas
like
care.
Central European Public Administration Review,
Год журнала:
2024,
Номер
22(1), С. 109 - 138
Опубликована: Май 17, 2024
Purpose:
The
purpose
of
the
presented
study
was
to
develop
a
set
recommendations
for
decision-makers
(policymakers
and
public
managers)
employees
enhance
effectiveness
efficiency
organisational
elements
in
adoption
artificial
intelligence
(AI)
institutions.
Design/methodology/approach:
Utilising
systematic
literature
review
following
PRISMA
protocol,
examines
enablers
AI
Comprehensive
search
queries
Scopus
database
identified
relevant
focusing
on
intersection
technologies
various
elements.
analysis
facilitated
by
NVivo
12,
enabling
structured
examination
key
facets
people,
culture,
structure,
processes,
technology
within
Findings:
Previous
studies
institutions
numerous
associated
with
like
people/employees,
technology,
processes.
Several
surveys
case
stress
importance
concentrating
introduction
or
transformation
these
prior
concurrently
AI.
Academic
contribution
field:
By
applying
represents
first
holistic
specific
that
can
serve
as
Research
limitations/implications:
This
subject
several
limitations.
Firstly,
division
between
natural
social
sciences,
former
technical
aspects
latter
broader
themes,
may
have
resulted
an
incomplete
depiction
change.
Secondly,
despite
broad
queries,
inherent
limitations
keyword-based
searches
excluded
some
studies.
Thirdly,
considering
rapid
evolution
our
not
fully
encapsulate
very
latest
developments
field
it
covers
published
until
May
2023.
Finally,
interpretation
coding
literature,
use
involved
subjective
could
affect
study’s
outcomes.
Practical
implications:
Drawing
from
experiences
private
sector,
are
increasingly
adopting
across
subsectors
such
finance
(taxation),
research,
healthcare,
law
enforcement,
defence,
education.
requires
both
hard
(structure,
processes
etc.)
soft
(people,
culture
etc.).
Therefore,
guidelines
implementers
at
all
levels
Social
If
adopted
effectively
efficiently
used
professionally
ethically,
bring
many
benefits
society,
transparency,
justice,
cost
time
efficiency,
high
quality
services,
improved
collaboration
different
stakeholders
society.
Originality/significance/value:
Our
makes
distinct
shifting
focus
technological
barriers
It
bridges
critical
gap
integrating
science
perspectives,
providing
valuable
insights
theory
practice
fields
organisation
management.
Advances in public policy and administration (APPA) book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 38
Опубликована: Фев. 14, 2025
This
study
examines
the
drivers
and
barriers
impacting
adoption
diffusion
of
artificial
intelligence
(AI)
in
public
administration.
Key
drivers,
categorized
by
technological,
organizational,
environmental,
human
factors,
are
explored
as
facilitators
for
effective
AI
integration.
Conversely,
significant
such
cybersecurity,
data
privacy,
budget
constraints,
infrastructural
limitations
identified,
posing
challenges
to
implementation.
The
employs
an
integrated
ISM-MICMAC
framework
map
these
barriers,
offering
insights
into
their
interdependencies
influence
within
sector.
findings
identify
key
that
must
be
addressed
strategic
initiatives
fully
leverage
potential
enhancing
service
delivery
administrative
efficiency.
Abstract
This
scoping
review
examines
the
research
landscape
about
publics’
views
on
ethical
challenges
of
AI.
To
elucidate
how
concerns
voiced
by
publics
are
translated
within
domain,
this
study
scrutinizes
64
publications
sourced
from
PubMed
®
and
Web
Science™.
The
central
inquiry
revolves
around
discerning
motivations,
stakeholders,
quandaries
that
emerge
in
topic.
analysis
reveals
innovation
legitimation
stand
out
as
primary
impetuses
for
engaging
public
deliberations
concerning
dilemmas
associated
with
AI
technologies.
Supplementary
motives
rooted
educational
endeavors,
democratization
initiatives,
inspirational
pursuits,
whereas
politicization
emerges
a
comparatively
infrequent
incentive.
participants
predominantly
comprise
general
professional
groups,
followed
system
developers,
industry
business
managers,
students,
scholars,
consumers,
policymakers.
dimensions
most
commonly
explored
literature
encompass
human
agency
oversight,
issues
centered
privacy
data
governance.
Conversely,
topics
related
to
diversity,
nondiscrimination,
fairness,
societal
environmental
well-being,
technical
robustness,
safety,
transparency,
accountability
receive
less
attention.
paper
delineates
concrete
operationalization
calls
involvement
governance
sphere.
It
underscores
intricate
interplay
between
concerns,
involvement,
structures,
including
political
economic
agendas,
which
serve
bolster
proficiency
affirm
legitimacy
development
accordance
institutional
norms
underlie
responsible
practices.
This
paper
presents
the
findings
of
an
online
survey
carried
out
as
part
AI
Watch,
European
Commission
knowledge
service
to
monitor
development,
uptake
and
impact
Artificial
Intelligence
(AI)
for
Europe.
The
was
addressed
at
practitioners
public
administrations
central,
regional,
local
level
aimed
compile
a
collection
cases
AI-enabled
solutions
used
by
sector
administrations.
It
analyses
drivers,
obstacles,
opportunities,
influencing
factors
adoption
use
administrations,
identifies
perceived
impacts
on
different
beneficiaries/users
services
provided
Findings
from
62
respondents
show
that
there
is
wide
array
initiatives
in
Member
States
moving
beyond
pilot
stage,
lack
citizen
involvement
design
services,
low
digital
literacy
employees
using
systems,
disrupting
effect
expected
have
still
not
mirrored
concrete
large-scale
projects
with
affairs.
