Digital Government Research and Practice,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 14, 2024
Generative
Artificial
Intelligence
(GenAI)
tools
are
becoming
quite
popular
for
a
variety
of
operations.
One
such
tool,
ChatGPT,
is
rapidly
permeating
into
people's
daily
lives
and
considered
to
have
the
potential
reshape
our
society.
While
private
organizations
spending
huge
amounts
money
on
its
usage
in
public
domain
still
driven
by
open
access
simple
functionality.
This
study
draws
key
concepts
‘Effective
Use’
theory:
Transparent
Interaction,
Representational
Fidelity,
Informed
Action,
Learning
Adaptation
examine
ChatGPT's
current
state
diffusion
four
sector
domains:
transportation,
healthcare,
agriculture,
law.
We
find
transparent
interaction
better
law
than
healthcare;
representational
fidelity
presents
complex
picture
whereas
informed
action
has
been
positive
across
domains;
learning
adaptation
an
ongoing
need.
conclude
with
various
suggestions
related
research
policy
towards
boosting
GenAI's
adoption.
suggest
that
governments
invest
resources
develop
new
regulatory
frameworks
considering
specific
context
use
cases
leveraging
enormous
GenAI
domain.
IEEE Access,
Год журнала:
2024,
Номер
12, С. 95368 - 95389
Опубликована: Янв. 1, 2024
The
increasing
integration
of
ChatGPT,
a
Generative
Artificial
Intelligence
(Gen-AI)
model,
into
educational
environments
has
sparked
substantial
ethical
concerns.
This
paper
addresses
the
crucial
question
whether
to
impose
restrictions
or
legislate
usage
Gen-AI,
with
ChatGPT
as
pivotal
case
study.
Through
systematic
literature
review
and
frequency
occurrence
analysis,
10
concerns
were
selected
for
further
analysis
using
Analytic
Hierarchy
Process
(AHP).
responses
expert
panels
show
that
top
concerns,
revealed
by
their
weights,
after
meeting
consistency
requirement,
include
copyright,
legal,
compliance
issues
(0.1731),
privacy
confidentiality
(0.1286),
academic
integrity
(0.1206),
incorrect
reference
citation
practices
(0.1111),
safety
security
(0.1050).
Evaluating
impact
these
on
policy
alternatives
(restriction
legislation),
findings
"Restriction"
received
higher
weight
(0.513712)
compared
"Legislation"
(0.485887).
Notably,
issues,
confidentiality,
emerged
factors
influencing
decision
between
restriction
legislation.
study
offers
valuable
insights
institutions
policymakers,
suggesting
need
inclusive
discussions,
pilot
programs
assess
impacts
critical
thinking,
development
clear
guidelines,
flexible
regulatory
frameworks,
awareness
campaigns,
potential
strategies
responsible
use.
Water Research,
Год журнала:
2024,
Номер
256, С. 121585 - 121585
Опубликована: Апрель 8, 2024
Artificial
intelligence
(AI)
is
expected
to
transform
many
scientific
disciplines,
with
the
potential
significantly
accelerate
discovery.
This
perspective
calls
for
development
of
data-centric
water
engineering
tackle
challenges
in
a
changing
world.
Building
on
historical
evolution
from
empirical
and
theoretical
paradigms
current
computational
paradigm,
we
argue
that
fourth
i.e.,
engineering,
emerging
driven
by
recent
AI
advances.
Here
define
new
framework
which
data
are
transformed
into
knowledge
insight
through
pipeline
powered
technologies.
It
proposed
embraces
three
principles
–
data-first,
integration
decision
making.
We
envision
needs
an
interdisciplinary
research
community,
shift
mindset
culture
academia
industry,
ethical
risk
guide
application
AI.
hope
this
paper
could
inspire
will
paradigm
towards
sector
fundamentally
planning
management
infrastructure.
ACS Sustainable Chemistry & Engineering,
Год журнала:
2024,
Номер
12(34), С. 12695 - 12707
Опубликована: Авг. 6, 2024
The
accelerating
depletion
of
natural
resources
undoubtedly
demands
a
radical
reevaluation
research
practices
addressing
the
escalating
climate
crisis.
From
traditional
approaches
to
modern-day
advancements,
integration
automation
and
artificial
intelligence
(AI)-guided
decision-making
has
emerged
as
transformative
route
in
shaping
new
methodologies.
Harnessing
robotics
high-throughput
alongside
intelligent
experimental
design,
self-driving
laboratories
(SDLs)
offer
an
innovative
solution
expedite
chemical/materials
timelines
while
significantly
reducing
carbon
footprint
scientific
endeavors,
which
could
be
utilized
not
only
generate
green
materials
but
also
make
process
itself
more
sustainable.
In
this
Perspective,
we
examine
potential
SDLs
driving
sustainability
forward
through
case
studies
discovery
optimization,
thereby
paving
way
for
greener
efficient
future.
While
hold
immense
promise,
discuss
challenges
that
persist
their
development
deployment,
necessitating
holistic
approach
both
design
implementation.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
delves
into
the
utilization
of
advanced
artificial
intelligence
(AI),
specifically
ChatGPT
or
Bard,
to
improve
strategies
for
monitoring
and
controlling
water
air
pollution.
Given
escalating
concerns
surrounding
environmental
degradation
its
repercussions
on
public
health,
there
is
a
pressing
demand
innovative
pollution
management
techniques.
investigation
centers
harnessing
capabilities
ChatGPT,
an
language
model,
address
real-time
data
analysis,
decision-making,
engagement
challenges
within
realm
quality.
Incorporating
cutting-edge
methods
in
monitoring,
such
as
sensor
networks,
satellite
imagery,
IoT
devices,
this
aims
obtain
comprehensive
understanding
dynamics.
Nevertheless,
substantial
volume
presents
processing
extracting
meaningful
insights.
employed
intelligent
tool
proficient
comprehending
natural
queries
delivering
insightful
analyses.
integration
streamlines
interpretation
intricate
sets,
enabling
swift
decision-making
control
authorities.
Moreover,
assumes
pivotal
role
by
serving
user-friendly
interface
disseminating
information
levels,
regulatory
measures,
preventive
actions.
Through
interactive
conversations,
it
enhances
communication
between
agencies
general
public,
cultivating
awareness
encouraging
participation
initiatives.
paper
underscores
significance
collaborative
human-AI
approach
tackling
multifaceted
The
also
ethical
considerations
associated
with
AI-driven
emphasizing
importance
responsible
AI
implementation.
As
technologies
progress,
proposed
framework
contribute
ongoing
discourse
sustainable
involvement.
By
synergizing
state-of-the-art
techniques,
seeks
offer
efficacious
solution
advancing
contemporary
landscape.
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
infusion
of
generative
artificial
intelligence
(AI)
stands
out
as
a
transformative
influence
in
civil
engineering,
reshaping
conventional
methodologies
and
elevating
the
effectiveness
precision
across
various
domains.
This
study
delves
into
nuanced
impact
ChatGPT,
potent
language
model,
key
realms
within
engineering:
Structural
Engineering,
Geotechnical
Transportation
Environmental
Water
Resources
Urban
Regional
Planning,
Materials
Coastal
Earthquake
Engineering.
Within
ChatGPT
assumes
central
role
formulating
refining
structural
designs.
By
deciphering
intricate
engineering
concepts
proposing
inventive
solutions,
assists
engineers
crafting
structures
that
not
only
exhibit
resilience
but
also
optimize
resource
utilization.
Its
proficiency
scrutinizing
extensive
datasets
delivering
insights
positions
it
an
invaluable
tool
for
augmenting
integrity
safety.
Engineering
benefits
from
ChatGPT's
aptitude
processing
interpreting
geological
geophysical
data.
Through
generation
reports
analyses,
aids
recognizing
potential
risks
suggesting
mitigation
strategies,
thereby
expediting
decision-making
geotechnical
projects.
In
realm
application
involves
streamlining
traffic
flow,
devising
intelligent
transportation
systems,
overall
infrastructure
planning.
natural
capabilities
facilitate
seamless
communication
collaboration
among
diverse
stakeholders
engaged
contributes
to
evaluation
environmental
studies,
assisting
planners
making
well-informed
decisions
prioritizing
sustainability.
Moreover,
its
capability
simulate
scenarios
formulation
effective
pollution
control
measures.
leverages
data
interpretation
modeling,
enabling
precise
predictions
water
flow
patterns
aiding
design
efficient
management
systems.
extends
contributions
where
urban
development
optimizing
land
use,
addressing
challenges
associated
with
population
growth
urbanization.
prowess
analysis
materials
enhanced
properties,
resilient
coastal
structures,
creation
earthquake-resistant
infrastructure.
research
paper
scrutinizes
how
integration
these
disciplines
heightens
efficiency
practices
unlocks
new
avenues
innovation,
sustainability,
face
evolving
challenges.
International Journal of Ethics and Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 3, 2024
Purpose
The
purpose
of
this
study
is
to
comprehensively
examine
the
ethical
implications
surrounding
generative
artificial
intelligence
(AI).
Design/methodology/approach
Leveraging
a
novel
methodological
approach,
curates
corpus
364
documents
from
Scopus
spanning
2022
2024.
Using
term
frequency-inverse
document
frequency
(TF-IDF)
and
structural
topic
modeling
(STM),
it
quantitatively
dissects
thematic
essence
discourse
in
AI
across
diverse
domains,
including
education,
healthcare,
businesses
scientific
research.
Findings
results
reveal
range
concerns
various
sectors
impacted
by
AI.
In
academia,
primary
focus
on
issues
authenticity
intellectual
property,
highlighting
challenges
AI-generated
content
maintaining
academic
integrity.
healthcare
sector,
emphasis
shifts
medical
decision-making
patient
privacy,
reflecting
about
reliability
security
advice.
also
uncovers
significant
discussions
educational
financial
settings,
demonstrating
broad
impact
societal
professional
practices.
Research
limitations/implications
This
provides
foundation
for
crafting
targeted
guidelines
regulations
AI,
informed
systematic
analysis
using
STM.
It
highlights
need
dynamic
governance
continual
monitoring
AI’s
evolving
landscape,
offering
model
future
research
policymaking
fields.
Originality/value
introduces
unique
combination
TF-IDF
STM
analyze
large
corpus,
new
insights
into
multiple
domains.
Abstract
This
paper
presents
a
digital
system
that
aims
to
analyze
real-time
data
obtained
from
sensors
installed
in
city's
water
distribution
infrastructure.
The
system’s
primary
objective
is
monitor
quality
and
generate
alerts
when
necessary.
following
metrics
are
used:
Flow,
pH,
Turbidity,
Free
Chlorine,
Nitrate,
Fluoride.
gathered
initially
processed
by
distributed
system,
which
generates
multiple
visualizations
synthesize
large
amounts
of
information.
These
facilitate
monitoring
the
sensor's
status.
Additionally,
citizens
can
receive
updates
on
any
possible
issues
network
through
WhatsApp
messages.
By
addressing
limitations
traditional
methods,
this
contributes
noteworthy
enhancement
public
supply
services.
Consequently,
it
improves
overall
life
for
citizens.
