Archives of Sexual Behavior,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Abstract
This
study
investigated
the
perspectives
of
artificial
intelligence
(AI)
language
models
on
complex
issue
sexting
among
adolescents,
comparing
their
ability
to
mediate
and
manage
quality
communication
topic
with
traditional
parental
mediation
strategies.
Drawing
a
survey
472
parents,
research
compared
attitudes,
patterns,
approaches
outputs
generated
by
four
AI
systems.
The
findings
revealed
that
emphasize
restrictive
strategies
highlight
perceived
susceptibility
severity
sexting,
while
responses
were
varied.
Notably,
systems
differed
in
predicting
dysfunctional
parent–child
suggesting
divergent
implicit
ideal
dynamics.
By
AI-generated
human
reactions,
this
offers
initial
insights
into
significance
adolescents
regarding
potential
limitations
current
promoting
improved
discussions
between
parents
sensitive
topics.
Reproductive Health,
Год журнала:
2024,
Номер
21(1)
Опубликована: Дек. 23, 2024
Target
3.7
of
the
Sustainable
Development
Goals
(SDGs)
aims
for
universal
access
to
sexual
and
reproductive
health
(SRH)
services
by
2030,
including
family
planning
services,
information,
education,
integration
into
national
strategies.
In
contemporary
times,
medicine
is
progressively
incorporating
artificial
intelligence
(AI)
enhance
sperm
cell
prediction
selection,
in
vitro
fertilisation
models,
infertility
pregnancy
screening.
AI
being
integrated
five
core
components
Sexual
Reproductive
Health,
improving
care,
providing
high-quality
contraception
eliminating
unsafe
abortions,
as
well
facilitating
prevention
treatment
sexually
transmitted
infections.
Though
can
improve
rights
addressing
disparities
enhancing
service
delivery,
AI-facilitated
have
ethical
implications,
based
on
existing
human
international
conventions.
Heated
debates
persist
implementing
AI,
particularly
maternal
health,
sexual,
discussion
centers
a
torn
between
touch
machine-driven
care.
spite
this
other
challenges,
AI's
application
crucial,
developing
countries,
especially
those
that
are
yet
explore
healthcare.
Action
plans
needed
roll
out
use
these
areas
effectively,
capacity
building
workers
essential
achieve
Goals'
3.7.
This
commentary
discusses
innovations
meeting
target
SDGs
with
focus
highlights
need
more
circumspective
approach
response
implications
using
services.
ACM Journal on Responsible Computing,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Traditional
health-seeking
behaviors,
particularly
in
menstrual
health,
are
deeply
rooted
local
languages,
sociocultural
norms,
and
religious
beliefs.
These
factors
significantly
influence
women
South
Asia
other
developing
regions,
often
proving
detrimental
to
their
physical
psychological
health.
Recognizing
the
multifaceted
nature
of
these
challenges,
this
paper
investigates
role
generative
domain-specific
chatbots
as
a
supportive
mechanism
enhance
behaviors
among
Asian
women.
Specifically,
it
aims
create
assess
Mai,
conversational
agent,
which
utilizes
Roman-Urdu
English
models
provide
accurate
information,
thereby
contributing
broader
effort
empowering
with
knowledge
resources.
Due
lack
data
domain,
our
research
involves
creating
dataset
from
existing
sources
translating
into
Roman
Urdu,
presenting
its
own
set
challenges.
datasets,
specifically
curated
for
research,
addressed
wide
range
health
topics.
Despite
being
an
monolingual
model,
DialoGPT’s
transformer
architecture
produced
favorable
results
when
fine-tuned
on
Urdu
dataset.
While
version
occasionally
faced
challenges
contextual
understanding,
both
achieved
promising
results.
Automatic
evaluation
metrics
indicated
strong
performance
Mai
compared
baseline
models.
Likewise,
user
evaluations
yielded
average
ratings
4.2
4.3
(out
5)
chatbots,
respectively,
more
than
half
medical
professionals
surveyed
expressed
willingness
recommend
dialogue
system.
Overall,
findings
highlight
transformative
potential
systems
education,
room
improvement
overcoming
cultural
linguistic
barriers
women’s
information
access.
Adolescent
girls
and
young
women
(AGYW)
in
sub-Saharan
Africa
face
unique
barriers
to
contraceptive
access
lack
AGYW-centered
decision-support
resources.
To
empower
AGYW
make
informed
choices
improve
reproductive
health
outcomes,
we
developed
a
tablet-based
application
provide
education
decision-making
support
the
pharmacy
setting
-
key
source
of
services
for
Kenya.
We
conducted
workshops
with
providers
Kenya
gather
app
feedback
understand
how
integrate
intervention
into
setting.
Our
analysis
highlights
intermediated
interactions
multiuser,
cooperative
effort
enable
technology
use
information
could
inform
successful
The
potential
strengths
intermediation
our
implications
technological
interventions
scenarios
\lrem{LMICs}\ladd{low-
middle-income
countries},
including
challenges
opportunities
extending
impact
different
populations
integrating
resource-constrained
healthcare
settings.
Archives of Sexual Behavior,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 11, 2025
Abstract
This
study
investigated
the
perspectives
of
artificial
intelligence
(AI)
language
models
on
complex
issue
sexting
among
adolescents,
comparing
their
ability
to
mediate
and
manage
quality
communication
topic
with
traditional
parental
mediation
strategies.
Drawing
a
survey
472
parents,
research
compared
attitudes,
patterns,
approaches
outputs
generated
by
four
AI
systems.
The
findings
revealed
that
emphasize
restrictive
strategies
highlight
perceived
susceptibility
severity
sexting,
while
responses
were
varied.
Notably,
systems
differed
in
predicting
dysfunctional
parent–child
suggesting
divergent
implicit
ideal
dynamics.
By
AI-generated
human
reactions,
this
offers
initial
insights
into
significance
adolescents
regarding
potential
limitations
current
promoting
improved
discussions
between
parents
sensitive
topics.
