Journal of Decision System,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 27
Published: Oct. 11, 2024
The
current
research
endeavour
aims
to
examine
the
most
recent
advancements
pertaining
AI-powered
ChatGPT
in
scholarly
literature.
Moreover,
this
examines
both
positive
and
negative
aspects
of
utilisation
across
several
sectors
including
business,
research,
society.
data
was
collected
from
Scopus,
using
Preferred
Reporting
Items
for
Systematic
Meta-Analysis
(PRISMA)
methodology.
process
scientific
mapping
carried
out,
wherein
biblometric
thematic
analysis
conducted.
results
suggest
that
there
is
a
significant
amount
being
conducted
on
subject,
particularly
fields
healthcare
education.
Thematic
reveals
wide
range
issues,
examination
impact
technology
decision-making
processes
address
complex
business
challenges.
Theoretical
perspectives
underscore
significance
ethical
deliberations,
regulatory
structures,
interdisciplinary
cooperation,
user
instruction
advancement
implementation
Artificial
Intelligence
systems.
International Journal of Architecture and Planning,
Journal Year:
2023,
Volume and Issue:
3(2), P. 92 - 124
Published: Sept. 5, 2023
This
research
paper
investigates
the
integration
of
advanced
generative
artificial
intelligence
(AI)
models,
such
as
ChatGPT,
Bard,
and
similar
architectures,
in
architectural
design
engineering.The
comprehensive
study
explores
various
aspects,
including
applications,
frameworks,
challenges,
prospective
developments
context
engineering.In
design,
transformative
impact
on
Architectural
Theory,
highlighting
how
AI
fosters
creativity
innovation
thinking.The
Design
Process
is
scrutinized,
showcasing
models
streamline
ideation,
iteration,
collaboration
among
teams.Furthermore,
examines
influence
Interior
Design,
Urban
Planning,
considers
nuanced
aspects
Cultural
Social
factors,
elucidating
these
technologies
contribute
to
inclusive
context-sensitive
practices.In
engineering,
assesses
Structural
Engineering,
demonstrating
its
potential
optimize
innovate
structural
analysis
designs
for
enhanced
safety
efficiency.It
applications
Building
Systems
Construction
Management,
illustrating
can
project
workflows
resource
allocation.The
compliance
with
Codes
Regulations
analyzed,
emphasizing
error
reduction
adherence
standards.Additionally,
probes
into
Materials
Technology,
advancements
material
selection
construction
methodologies.The
also
role
promoting
Sustainability
Environmental
energy
efficiency,
reduce
environmental
impact,
enhance
overall
sustainability.Finally,
outlines
challenges
future
directions
development
fully
harness
shaping
engineering.
International Journal of Artificial Intelligence and Machine Learning,
Journal Year:
2024,
Volume and Issue:
4(1), P. 22 - 47
Published: Jan. 5, 2024
The
incorporation
of
generative
Artificial
Intelligence
(AI)
systems,
such
as
ChatGPT,
holds
great
potential
in
reshaping
diverse
facets
architectural
engineering.This
research
investigates
the
profound
influence
AI
technologies
on
structural
engineering
Heating,
Ventilation,
and
Air
Conditioning(HVAC)
engineering,
electrical
plumbing
fire
protection
sustainability,
net
zero,
green
building
design,
Building
Information
Modeling
(BIM),
urban
planning,
project
management.In
ChatGPT's
capacity
to
analyze
extensive
datasets
simulate
intricate
structures
expedites
design
process,
ensuring
integrity
while
optimizing
materials
costs.In
HVAC
it
aids
devising
energy-efficient
systems
climate
control
solutions,
significantly
contributing
sustainable
practices.Similarly,
AI's
capabilities
enhance
optimization
both
safety
reliability.In
ChatGPT
assists
creating
efficient
layouts
suppression
compliance
with
regulations.Moreover,
plays
a
pivotal
role
advancing
sustainability
design.By
evaluating
environmental
factors
suggesting
eco-friendly
designs,
fosters
development
environmentally
responsible
structures.In
domain
BIM,
facilitates
seamless
collaboration,
automates
model
generation,
improves
clash
detection,
streamlined
execution.Nevertheless,
integration
presents
challenges.Ethical
concerns,
data
security,
necessity
for
skilled
professionals
interpret
AI-generated
insights
are
significant
issues.This
delves
into
these
contribution
challenges
effectively
harness
AI,
paving
way
transformative
era
engineering.
