Este
artigo
apresenta
um
instrumento
paradidático
destinado
a
estudantes
de
tecnologia,
visando
promover
o
debate
sobre
questões
éticas
em
Inteligência
Artificial
(IA).
O
combina
tipo
Likert
e
dissertativas,
abordando
três
dimensões
críticas:
privacidade,
trabalho
consequências
sociais
da
IA.
Um
estudo
caso
inicial
com
70
revela
preocupações
significativas
privacidade
dados,
impactos
no
sociais,
enquanto
reconhece
potenciais
benefícios
conclui
destacando
importância
discussões
interdisciplinares
nos
cursos
Computação.
Journal of Decision System,
Год журнала:
2024,
Номер
unknown, С. 1 - 29
Опубликована: Окт. 10, 2024
This
study
conducts
a
bibliometric
analysis
of
the
evolution
ethics,
transparency,
and
explainability
in
generative
Artificial
Intelligence
(AI)
within
decision−making
systems
from
2004
to
2024.
Utilising
VOSviewer
Biblioshiny
tools,
literature
sourced
Scopus
Web
Science
was
analyzed
following
PRISMA
guidelines.
The
findings
highlight
rapid
expansion
AI
technologies,
particularly
since
2019,
with
growing
focus
on
ethical
frameworks,
especially
healthcare.
underlines
that
as
become
more
embedded
high-stakes
decisions,
aligning
these
societal
values
is
increasingly
urgent.
United
States
Europe
lead
contributors,
significant
insights
Asia.
Key
themes
include
AI's
challenges,
algorithmic
explainability,
gaining
prominence
during
COVID−19
pandemic.
By
identifying
trends
such
surge
chatbot
large
language
model
research,
this
research
provides
foundation
for
future
studies
informs
policy
considerations
responsible
innovation.
Play
is
pivotal
in
fostering
the
emotional,
social,
and
cultural
dimensions
of
urban
spaces.
While
generative
AI
(GAI)
potentially
supports
playful
interaction,
a
balanced
critical
approach
to
design
opportunities
challenges
needed.
This
work
develops
iWonder,
an
image-to-image
GAI
tool
engaging
fourteen
designers
explorations
identify
GAI's
features
create
ideas.
Fourteen
citizens
then
evaluated
these
ideas,
providing
expectations
concerns
from
bottom-up
perspective.
Our
findings
reveal
dynamic
interplay
between
users,
GAI,
contexts,
highlighting
potential
facilitate
experiences
through
agency,
meaningful
unpredictability,
social
performativity,
associated
offensive
qualities.
We
propose
considerations
address
citizen
`tourist
metaphor'
deepen
our
understanding
impact,
offering
insights
enhance
cities'
socio-cultural
fabric.
Overall,
this
research
contributes
effort
harness
capabilities
for
enrichment.
This
editorial
explores
the
transformative
role
of
generative
artificial
intelligence
(AI)
in
augmenting
human
creativity
and
catalyzing
cognitive
evolution.
Tracing
its
historical
lineage
from
symbolic
AI
to
transformer-based
architectures,
this
argues
that
is
not
merely
a
computational
tool
but
partner
reshapes
our
understanding
creativity,
perception,
epistemology.
The
phenomenon
hallucination—often
dismissed
as
error—is
reframed
window
into
dynamics
both
cognition.
Through
technical
philosophical
analysis,
paper
discusses
AI’s
impact
on
fields
ranging
art
architecture
scientific
discovery
education.
article
also
interrogates
ethical,
societal,
metaphysical
questions
raised
by
AI-human
symbiosis
proposes
vision
for
co-evolutionary
future
beyond
hallucination,
where
emerges
collaboration
between
minds—both
biological
artificial.
Education Sciences,
Год журнала:
2025,
Номер
15(4), С. 505 - 505
Опубликована: Апрель 18, 2025
Feedback
is
an
essential
component
of
the
teaching–learning
process;
however,
it
can
vary
in
quality
due
to
different
contexts
and
students’
professors’
individual
characteristics.
This
research
explores
effect
generative
artificial
intelligence
(GenAI)
strengthening
personalized
timely
feedback
by
initially
defining
adaptable
framework
integrate
GenAI
into
mechanisms
defined
theoretical
frameworks.
We
applied
a
between-subjects
analysis
experimental
design
with
263
undergraduate
students
across
multiple
disciplines
based
on
approach
consisting
pretest–post-test
process
control
focus
groups
evaluate
perceptions
intelligence-enhanced
versus
traditional
professor-led
feedback.
The
results
show
that
who
used
declared
statistically
significantly
higher
satisfaction
levels
greater
sense
ownership
process.
Additionally,
scaffolded
continuous
improvement
active
student
participation
through
structured
accessible
environment,
determining
97%
are
willing
reuse
tool.
These
findings
valuable
tool
complement
professors
creation
integrated
model.
study
draws
directions
future
combination
innovative
strategies
produce
long-term
impact
education.
IGI Global eBooks,
Год журнала:
2025,
Номер
unknown, С. 371 - 384
Опубликована: Март 14, 2025
Generative
Artificial
Intelligence
(AI)
has
rapidly
become
a
powerful
influence
in
modern
technology,
allowing
machines
to
produce
novel
content
that
closely
resembles
human
creativity.
This
chapter
explores
the
ethical,
privacy,
and
future
implications
of
AI
Large
Language
Models
(LLMs).
It
outlines
how
biases
emerge
from
training
data,
why
transparency
accountability
are
essential,
regulations
strive
protect
personal
information.
The
text
considers
social
cultural
impacts
AI-generated
content,
examines
workforce
transformations
due
automation
augmentation,
addresses
environmental
costs
running
large-scale
models.
also
highlights
human-AI
collaboration,
evolution
tools
policies
for
responsible
AI,
importance
integrating
ethics
at
every
step
technological
development.
Ultimately,
it
calls
thoughtful
guidance
compassionate
stewardship
as
shapes
creativity,
knowledge,
interaction.
Journal of Web Librarianship,
Год журнала:
2024,
Номер
unknown, С. 1 - 18
Опубликована: Окт. 9, 2024
The
pervasive
impact
of
Artificial
Intelligence
on
workers
and
citizens
implies
the
need
for
AI
literacy,
but
it
is
an
elusive
concept.
purpose
paper
to
review
definitions
algorithmic,
generative
literacy.
In
depth
analysis
presented
conceptualisations
literacy
coming
from
different
perspectives,
such
as
media
studies,
HCI,
technology
education.
then
outlines
a
definition
responsible
that
conceives
more
than
effective
prompting.
Advances in educational technologies and instructional design book series,
Год журнала:
2024,
Номер
unknown, С. 287 - 334
Опубликована: Сен. 20, 2024
This
Chapter
delves
into
the
impact
of
generative
AI
on
academic
research
and
publishing,
discussing
various
architectures
such
as
Mixture
Experts
(MoE),
Generative
Adversarial
Networks
(GANs),
Variational
Autoencoders
(VAEs),
Pre-trained
Transformers
(GPT).
The
explores
increase
AI-centered
preprints,
their
effects
peer
review,
ethical
considerations
linked
to
them.
peer-review
system's
integrity
is
under
examination,
focusing
challenges
related
AI,
misuse,
redefining
plagiarism.
chapter
potential
tools
improve
review
processes
stresses
importance
institutions
creating
frameworks
for
utilization.
article
concludes
by
evaluating
advantages
drawbacks
in
research,
with
goal
presenting
a
fair
viewpoint
its
revolutionary
capabilities
while
upholding
principles.