Journal of risk and financial management,
Год журнала:
2024,
Номер
17(2), С. 54 - 54
Опубликована: Янв. 31, 2024
This
paper
examines
how
the
combination
of
artificial
intelligence
(AI)
and
blockchain
technology
can
enable
autonomous
AI
agents
to
engage
execute
economic
financial
transactions.
We
critically
examine
constraints
on
in
achieving
predefined
objectives
independently,
especially
due
their
limited
access
institutions.
argue
that
AI’s
these
institutions
is
vital
enhancing
its
capabilities
augment
human
productivity.
Drawing
theory
institutional
economics,
we
propose
provides
a
solution
for
creating
digital
institutions,
permitting
with
through
management
private
keys.
extends
form
contracts,
participate
marketplaces,
utilize
services
autonomously.
The
encourages
further
research
as
general-purpose
an
unlock
full
agents.
People and Nature,
Год журнала:
2024,
Номер
6(2), С. 882 - 893
Опубликована: Фев. 23, 2024
Abstract
The
ongoing
biodiversity
and
climate
change
crises
require
society
to
adopt
nature‐based
solutions
that
integrate
enhance
ecosystems.
To
achieve
successful
implementation
of
solutions,
it
is
vital
communicate
scientific
information
about
their
benefits
suitability.
This
article
explores
the
potential
generative
artificial
intelligence
(GenAI)
as
a
tool
for
automating
scaling
up
science
communication,
outreach,
extension
solutions.
illustrate
GenAI,
we
present
three
case
study
examples;
(1)
reporting
on
ecosystem
services,
future
land
use
options,
farms
(2)
interactively
providing
guidance
in
response
homeowner
questions
biodiversity‐friendly
garden
design
(3)
visualising
scenarios
landscape
incorporate
diverse
nature
based
technological
These
examples
demonstrate
applications
which
may
be
relevant
other
systems
types
While
GenAI
offers
significant
opportunities,
this
new
technology
brings
risks
bias,
false
information,
data
privacy,
mistrust,
high
energy
usage.
Alongside
development,
integrated
social
research
into
ethics,
public
acceptability,
user
experience,
maximise
while
limiting
these
risks.
an
opportunity
accelerate
dissemination
strategies
reach
broader
audience,
by
synthesising
producing
tailored
content
specific
users
locations.
By
harnessing
power
alongside
human
expertise,
can
support
tackle
complex
challenges
sustainability.
Read
free
Plain
Language
Summary
Journal
blog.
Business Strategy and the Environment,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 11, 2025
ABSTRACT
In
the
era
of
rapid
technological
advancement,
generative
artificial
intelligence
(AI)
has
emerged
as
a
transformative
force
in
various
sectors,
including
environmental
sustainability.
This
research
investigates
factors
and
consequences
using
AI
to
access
information
influence
green
purchasing
behavior.
It
integrates
theories
such
adoption
model,
value–belief–norm
theory,
elaboration
likelihood
cognitive
dissonance
theory
pinpoint
prioritize
determinants
usage
for
Data
from
467
participants
were
analyzed
hybrid
methodology
that
blends
partial
least
squares
(PLS)
with
neural
networks
(ANN).
The
PLS
outcomes
indicate
interactivity,
responsiveness,
knowledge
acquisition
application,
concern,
ascription
responsibility
are
key
predictors
use
information.
Furthermore,
concerns,
values,
personal
norms,
responsibility,
individual
impact,
emerge
ANN
analysis
offers
unique
perspective
discloses
variations
hierarchy
these
predictors.
provides
valuable
insights
stakeholders
on
harnessing
promote
sustainable
consumer
behaviors
Sustainability,
Год журнала:
2023,
Номер
15(24), С. 16928 - 16928
Опубликована: Дек. 18, 2023
The
application
of
generative
artificial
intelligence
in
the
field
education
has
been
receiving
increasing
attention,
with
performance
chatbot
ChatGPT
being
particularly
prominent.
This
study
aims
to
explore
depth
impact
on
higher
students
utilizing
ChatGPT.
To
this
end,
we
conducted
a
survey
448
university
and
employed
partial-least
squares
(PLS)
method
structural
equation
modeling
for
data
analysis.
results
indicate
that
all
eight
hypothetical
paths
posited
were
supported,
surprisingly,
hypothesis
technology
characteristics
have
direct
effect
was
supported.
Moreover,
found
overall
quality
is
crucial
factor
determining
impact.
Overall
indirectly
affects
through
task-technology
fit,
characteristics,
compatibility,
among
which
mediating
compatibility
most
significant,
followed
by
characteristics.
offers
practical
recommendations
proper
use
during
learning
process
assists
developers
enhancing
services
system.
International Journal of Educational Technology in Higher Education,
Год журнала:
2025,
Номер
22(1)
Опубликована: Фев. 9, 2025
Abstract
This
paper
presents
a
systematic
review
of
the
role
prompt
engineering
during
interactions
with
Generative
Artificial
Intelligence
(GenAI)
in
Higher
Education
(HE)
to
discover
potential
methods
improving
educational
outcomes.
Drawing
on
comprehensive
search
academic
databases
and
relevant
literature,
key
trends,
including
multiple
framework
designs,
are
presented
explored
role,
relevance,
applicability
purposefully
improve
GenAI-generated
responses
higher
education
contexts.
Multiple
experiments
using
variety
frameworks
compared,
contrasted
discussed.
Analysis
reveals
that
well-designed
prompts
have
transform
GenAI
teaching
learning.
Further
findings
show
it
is
important
develop
teach
pragmatic
skills
AI
interaction,
meaningful
engineering,
which
best
managed
through
for
creating
evaluating
applications
aligned
pre-determined
contextual
goals.
The
outlines
some
concepts
educators
should
be
aware
when
incorporating
into
their
practices,
students
necessary
successful
interaction.
European Journal of Education,
Год журнала:
2025,
Номер
60(1)
Опубликована: Фев. 18, 2025
ABSTRACT
The
arrival
of
generative
artificial
intelligence
(GAI)
technologies
marks
a
significant
transformation
in
the
educational
landscape,
with
implications
for
teaching
and
learning
performance.
These
can
generate
content,
simulate
interactions,
adapt
to
learners'
needs,
offering
opportunities
interactive
experiences.
In
China's
education
sector,
incorporating
GAI
address
challenges,
enhance
practices,
improve
This
study
scrutinises
impact
on
performance
focusing
mediating
roles
e‐learning
competence
(EC),
desire
(DL),
beliefs
about
future
(BF),
as
well
moderating
role
facilitating
conditions
amongst
Chinese
educators.
Data
was
collected
from
411
teachers
across
various
institutions
China
using
purposive
sampling.
PLS‐SEM
ANN
were
employed
assess
suggested
structural
model.
results
indicate
that
significantly
influence
by
EC,
DL,
BF
roles.
Furthermore,
positively
moderate
association
BF.
underscores
critical
self‐determination
theory
shaping
effective
incorporation
education,
valuable
insights
outcomes
sector.
