Oxford University Press eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 3, 2025
Abstract
As
of
2023,
English
was
the
official
language
in
67
countries
and
spoken
by
more
than
1.5
billion
people
worldwide.
Although
it
is
not
most
widely
used
native
tongue,
has
become
a
global
lingua
franca,
particularly
academic
scientific
contexts.
This
dominance,
however,
restricts
access
non-English
speakers
to
educational
professional
opportunities
perpetuates
what
may
be
termed
“linguistic
racism.”
At
same
time,
rapid
rise
large
models
(LLMs)—capable
instantaneous
translation
text
reformulation—risks
amplifying
hegemony
English,
potentially
homogenizing
communication
overshadowing
linguistic
diversity.
article
examines
how
LLMs,
often
trained
predominantly
on
English-language
data,
inadvertently
marginalize
minority
languages
cultures.
these
AI
tools
provide
unprecedented
convenience
for
cross-linguistic
communication,
they
also
pose
ethical,
social,
epistemic
challenges.
It
argued
that
governments
international
bodies,
such
as
UNESCO,
should
develop
regulations
support
pluralism
protect
cultures
digital
sphere.
One
possible
approach
involves
fostering
creation
deployment
small
specifically
adapted
local
Unlike
larger,
English-centric
models,
can
preserve
nuance
reduce
reliance
single
standard.
Concrete
strategies
mitigate
cultural
homogenization
include
community-driven
data
curation,
impact
assessments
deployment,
policies
promote
open-access
partnerships
sovereignty.
Ensuring
reflect
input
speakers,
anthropologists,
sociolinguists
transform
LLMs
into
instruments
preserving—and
even
revitalizing—endangered
languages.
Ultimately,
balanced
governance,
combining
technical
innovation
with
sensitivity,
essential.
Such
an
ensure
emerging
technologies
enhance
rather
erode
diversity,
enriching
diluting
broader
landscape.
Frontiers in Artificial Intelligence,
Год журнала:
2023,
Номер
6
Опубликована: Июнь 15, 2023
We
review
and
critically
assess
several
issues
arising
from
the
potential
-large-scale-
implementation
or
deployment
of
Large
Language
Models
(LLMs)
in
society.
These
include
security,
political,
economic,
cultural,
educational
as
well
concerning
social
biases,
creativity,
copyright,
freedom
speech.
argue,
without
a
preconceived
pessimism
toward
these
tools,
that
they
may
bring
about
many
benefits.
However,
we
also
call
for
balance
assessment
their
downsides.
While
our
work
is
only
preliminary
certainly
partial
it
nevertheless
holds
some
value
one
first
exploratory
attempts
literature.
Philosophy & Technology,
Год журнала:
2024,
Номер
37(2)
Опубликована: Июнь 1, 2024
Abstract
Social
media
have
undoubtedly
changed
our
ways
of
living.
Their
presence
concerns
an
increasing
number
users
(over
4,74
billion)
and
pervasively
expands
in
the
most
diverse
areas
human
life.
Marketing,
education,
news,
data,
sociality
are
just
a
few
many
which
social
play
now
central
role.
Recently,
some
attention
toward
link
between
political
participation
has
emerged.
Works
field
artificial
intelligence
already
pointed
out
that
there
is
close
use
machine
learning
algorithms
possible
epistemic
isolation,
could
lead
to
radicalization.
The
idea
supporting
this
paper
for
can
actively
put
users’
deliberative
capacity
at
risk
foster
extremism.
To
prove
these
claims,
I
proceed
along
two
lines
inquiry.
First,
focus
on
filter
bubbles,
namely
result
selections
made
by
recommend
contents
meet
expectations
opinions.
analyze
phenomenon,
refer
Deweyan
model
experience.
Second,
connect
bubbles
problem
participatory
democracy
Nussbaum’s
concept
compassion.
purpose
provide
philosophical
foundation
both
(1)
effectively
serve
as
method
analyzing
their
potential
problems
relation
extremism,
(2)
be
adopted
standard
counter
danger
extremism
associated
with
Sustainable Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 23, 2024
Abstract
This
review
provides
a
comprehensive
analysis
of
the
intersection
between
digital
sustainability
(DS)
and
eco‐environmental
(EES),
focusing
on
opportunities
challenges
presented
by
emerging
technologies,
such
as
artificial
intelligence
(AI),
blockchain,
electric
vehicles
(EVs),
cryptocurrencies.
The
study
critically
examines
concerns
arising
from
increasing
demand
for
infrastructure
depletion
essential
natural
resources,
including
tantalum,
indium,
cobalt,
lithium.
Through
an
interdisciplinary
approach,
evaluates
ethical,
technological,
policy
implications
integrating
DS
within
EES
framework.
It
emphasizes
significance
innovative
governance
cross‐sector
collaboration
to
address
environmental
trade‐offs
rebound
effects
linked
with
these
technologies.
Additionally,
proposes
strategies
mitigating
ecological
impacts
transformation
identifies
crucial
research
gaps,
particularly
in
resource
management
long‐term
sustainability.
findings
aim
guide
alignment
EES,
fostering
more
balanced
resilient
path
towards
sustainable
development.
offers
actionable
insights
recommendations
industry
practitioners,
policymakers,
researchers
committed
advancing
transformation.
Journal of Advances in Mathematics and Computer Science,
Год журнала:
2025,
Номер
40(1), С. 54 - 71
Опубликована: Янв. 15, 2025
Purpose:
This
study
provides
a
comprehensive
bibliometric
analysis
of
advancements
in
Artificial
Intelligence
Healthcare
and
Psychology
(AIHCP),
focusing
on
emerging
trends
their
implications
for
future
research
practice.
Given
the
rapid
developments
AI
technologies
applications
these
fields,
detailed
examination
patterns
thematic
areas
is
critical.
Design/Methodology/Approach:
Using
two-stage
filtering
process,
we
analyzed
1,499
documents
from
1960
to
2023,
narrowing
down
1,362
published
between
2013
further
11
publications
2018–2023.
Data
were
retrieved
Scopus
database,
analyses
included
frequency
distribution
by
journals,
authors,
countries,
organizations,
as
well
network
visualization
co-occurring
keywords.
Thematic
clusters
identified
using
VOSviewer
software,
text
mining/mapping
abstracts
was
conducted
deeper
insights.
Findings:
We
seven
clusters,
including
technological
capabilities,
healthcare
security,
psychological
interventions,
role
chatbots
machine
learning.
Key
findings
reveal
evolving
focus
research,
highlighting
opportunities
innovation
addressing
existing
challenges.
These
provide
global
overview
underline
potential
transforming
psychology.
Originality/Value:
offers
unique
perspective
combining
with
mining
explore
AIHCP
comprehensively.
The
serve
foundation
emphasizing
integration
into
psychology
practices
while
critical
gaps
opportunities.
