https://doi.org/10.48550/arXiv.2404.03685
With
an
evolutionary
approach,
the
basis
of
morality
can
be
explained
as
adaptations
to
problems
cooperation.
‘evolution’
taken
in
a
broad
sense,
AIs
that
satisfy
conditions
for
evolution
apply
will
subject
same
cooperative
pressure
biological
entities.
Here
adaptiveness
increased
cooperation
material
safety
and
wealth
increase
is
discussed
—
humans,
other
societies,
AIs.
Diminishing
beneficial
returns
from
access
resources
also
suggests
possibility
that,
on
whole,
there
no
incentive
instance
colonize
entire
galaxies,
thus
providing
possible
explanation
Fermi
paradox,
wondering
where
everybody
is.
It
further
argued
old
societies
could
engender,
give
way
to,
super-AIs,
since
it
likely
super-AIs
are
feasible,
fitter.
Closing
aside
effective
ways
morals
goals
affect
life
society,
emphasizing
environments,
cultures,
laws,
exemplified
by
how
eat.
`Diminishing
returns’
defined,
less
than
roots,
inverse
infeasibility.
noted
exponential
colonization
or
reproduction,
mathematical
reasons,
each
entity
takes
up
certain
amount
space.
Appended
algorithm
colonizing
example
galaxy
quickly,
models
fairness
under
diminishing
returns,
software
simulating
signaling
development.
Norms
on
social
media
tend
to
be
more
extreme
than
offline
norms–creating
false
perceptions
of
norms.
The
current
paper
explains
how
modern
technology
interacts
with
human
psychology
create
a
funhouse
mirror
version
Specifically,
we
integrate
research
from
political
science,
psychology,
and
cognitive
science
explain
online
environments
become
saturated
norms,
who
is
misrepresented
online,
what
happens
when
norms
deviate
where
people
are
affected
why
expressions
online.
We
provide
framework
for
understanding
correcting
the
distortions
in
our
that
created
by
platforms.
argue
nature
can
pernicious
individuals
society
increasing
pluralistic
ignorance
polarization.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 3, 2025
People
view
AI
as
possessing
expertise
across
various
fields,
but
the
perceived
quality
of
AI-generated
moral
remains
uncertain.
Recent
work
suggests
that
large
language
models
(LLMs)
perform
well
on
tasks
designed
to
assess
alignment,
reflecting
judgments
with
relatively
high
accuracy.
As
LLMs
are
increasingly
employed
in
decision-making
roles,
there
is
a
growing
expectation
for
them
offer
not
just
aligned
also
demonstrate
sound
reasoning.
Here,
we
advance
Moral
Turing
Test
and
find
Americans
rate
ethical
advice
from
GPT-4o
slightly
more
moral,
trustworthy,
thoughtful,
correct
than
popular
New
York
Times
column,
The
Ethicist.
Participants
GPT
surpassing
both
representative
sample
renowned
ethicist
delivering
justifications
advice,
suggesting
people
may
LLM
outputs
viable
sources
expertise.
This
might
see
valuable
complements
human
guidance
decision-making.
It
underscores
importance
carefully
programming
guidelines
LLMs,
considering
their
potential
influence
users'
PNAS Nexus,
Journal Year:
2024,
Volume and Issue:
3(6)
Published: May 31, 2024
Abstract
Although
much
of
human
morality
evolved
in
an
environment
small
group
living,
almost
6
billion
people
use
the
internet
modern
era.
We
argue
that
technological
transformation
has
created
entirely
new
ecosystem
is
often
mismatched
with
our
adaptations
for
social
living.
discuss
how
responses
to
moral
transgressions,
such
as
compassion
victims
transgressions
and
punishment
transgressors,
are
disrupted
by
two
main
features
online
context.
First,
scale
exposes
us
unnaturally
large
quantity
extreme
content,
causing
fatigue
increasing
public
shaming.
Second,
physical
psychological
distance
between
actors
can
lead
ineffective
collective
action
virtue
signaling.
practical
implications
these
mismatches
suggest
directions
future
research
on
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 167 - 198
Published: Feb. 21, 2025
Social
networking
platforms
have
greatly
changed
the
way
individuals
interact,
relate
to,
and
share
information.
This
chapter
explores
different
roles
social
networks
play
in
facilitating
peer
support
for
with
disabilities,
both
at
a
conceptual
practical
level.
The
discussion
begins
historical
timeline
that
traces
emergence
of
learning
theories
from
digital
platform
development,
where
various
categories
directed
towards
are
delineated.
text
also
elaborates
on
numerous
benefits
brought
about
by
as
well
risks
this
integration
may
cause.
Besides,
it
gives
an
idea
successful
implementations
through
case
studies.
proposed
analysis
empowers
policymakers
useful
insights
action
plans
implementing
can
facilitate
persons
disabilities
order
to
encourage
more
interactive,
collaborative,
digitally
literate
online
environments.
DYNA,
Journal Year:
2025,
Volume and Issue:
92(236), P. 97 - 102
Published: Feb. 24, 2025
The
increasing
penetration
of
online
social
networks
(OSNs)
and
smartphones,
particularly
among
young
people,
raises
questions
about
their
effects
on
academic
performance
workplace
productivity.
This
research
aimed
to
assess
the
degree
addiction,
gender
differences,
relationship
between
addiction
OSNs
as
well
discrepancies
in
perceptions
students,
teachers,
directors.
A
mixed-methods
design
was
employed,
including
in-depth
interviews
questionnaires
validated
Spanish,
surveying
88
faculty
members
461
undergraduate
students
Buenos
Aires.
results
indicate
that
directors
believe
excessive
use
distracts
decreases
Although
they
do
not
see
need
for
regulation,
there
is
consensus
crucial
role
teachers.
Faculty
report
concentration
problems
a
correlation
observed
smartphones
OSNs,
with
higher
levels
found
women.
PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(3), P. e0300960 - e0300960
Published: March 25, 2024
Harmful
and
inappropriate
online
content
is
prevalent,
necessitating
the
need
to
understand
how
individuals
judge
wish
mitigate
spread
of
negative
on
social
media.
In
an
study
with
a
diverse
sample
media
users
(n
=
294),
we
sought
elucidate
factors
that
influence
individuals’
evaluation
objectionable
content.
Participants
were
presented
images
varying
in
moral
valence,
each
accompanied
by
indicator
intention
from
ostensible
poster.
Half
participants
assigned
role
user
moderator,
while
remaining
instructed
respond
as
they
normally
would
online.
The
aimed
establish
whether
imagery,
poster,
perceived
responsibility
users,
affect
judgments
objectionability,
operationalized
through
both
decisions
flag
preferences
seek
punishment
other
users.
Our
findings
reveal
imagery
strongly
influences
users’
assessments
what
appropriate
content,
almost
exclusively
choosing
report
punish
morally
images.
Poster
also
plays
significant
user’s
decisions,
greater
objection
shown
when
it
has
been
shared
another
for
purpose
showing
support
it.
Bestowing
moderation
affected
reporting
behaviour
but
not
preferences.
We
explore
individual
characteristics,
finding
association
between
trust
platforms
decisions.
Conversely,
positive
relationship
was
identified
trait
empathy
rates.
Collectively,
our
insights
highlight
complexity
results
advance
understanding
online,
offer
regulatory
bodies
aiming
better
moderation.