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.
Theoretical and Applied Mechanics Letters,
Год журнала:
2024,
Номер
14(1), С. 100492 - 100492
Опубликована: Янв. 1, 2024
The
distribution
of
material
phases
is
crucial
to
determine
the
composite's
mechanical
property.
While
full
structure-mechanics
relationship
highly
ordered
distributions
can
be
studied
with
finite
number
cases,
this
difficult
revealed
for
complex
irregular
distributions,
preventing
design
such
structures
meet
certain
requirements.
noticeable
developments
artificial
intelligence
(AI)
algorithms
in
enables
detect
hidden
correlations
which
essential
designing
composite
structures.
It
intriguing
how
these
tools
assist
design.
Here,
we
focus
on
rapid
generation
bicontinuous
together
stress
loading.
We
find
that
generative
AI,
enabled
through
fine-tuned
Low
Rank
Adaptation
models,
trained
a
few
inputs
generate
both
synthetic
and
corresponding
von
Mises
distribution.
results
show
technique
convenient
generating
massive
composites
designs
useful
information
dictate
stiffness,
fracture
robustness
one
model,
has
done
by
several
different
experimental
or
simulation
tests.
This
research
offers
valuable
insights
improvement
goal
expanding
space
automatic
screening
improved
functions.
Understanding
how
communities
experience
algorithms
is
necessary
to
mitigate
potential
harmful
impacts.
This
paper
presents
folk
theories
of
text-to-image
(T2I)
models
enrich
understanding
artist
creative
machine
learning
systems.
research
draws
on
data
collected
from
a
workshop
with
15
artists
10
countries
who
incorporate
T2I
in
their
practice.
Through
reflexive
thematic
analysis
data,
we
highlight
use,
harm,
and
harm
reduction.
Folk
use
envision
as
an
artistic
medium,
mundane
tool,
locate
true
creativity
rising
above
model
affordances.
Theories
articulate
harmed
by
engineering
efforts
eliminate
glitches
product
policy
limit
functionality.
harm-reduction
orient
towards
protecting
for
practice
through
transparency
distributed
governance.
We
examine
these
relate,
conclude
discussing
theorization
informs
responsible
AI
efforts.
New Media & Society,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 18, 2024
Despite
the
growing
concerns
surrounding
algorithmic
biases
in
generative
AI
(artificial
intelligence),
there
is
a
noticeable
lack
of
research
on
how
to
facilitate
children
and
young
people’s
awareness
understanding
them.
This
study
aimed
address
this
gap
by
conducting
hands-on
workshops
with
fourth-
seventh-grade
students
Finland,
focusing
students’
(
N
=
209)
evolving
explanations
potential
causes
within
text-to-image
models.
Statistically
significant
progress
children’s
data-driven
was
observed
written
reasoning
test,
which
administered
prior
after
intervention,
as
well
their
responses
worksheets
they
filled
out
during
lesson
that
focused
biases.
The
article
concludes
discussion
development
facilitation
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.
