Artificial intelligence misconduct and ESG risk ratings
Review of Managerial Science,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 28, 2025
Язык: Английский
Addressing Rights on Responsible AI in Digital Companies
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 109 - 138
Опубликована: Март 7, 2025
This
study
examined
the
top
five
reference
companies
for
Generation
Z,
in
relation
to
bias
and
responsible
Artificial
Intelligence
(AI).
Through
a
literature
analysis
on
of
Law
15/2022,
July
12
(15917/2022),
comprehensive
equal
treatment
non-discrimination,
key
factors
are
detected
determine
whether
or
not
comply
from
an
ethical
point
view.
The
findings
confirmed
that
all
items
analyzed
complied
with
except
seals
algorithms
officially.
These
results
essential
guide
market
towards
more
transparent
business
models,
which
helps
increase
trust
they
transmit
society.
offers
implications,
limitations
future
lines
research,
focus
algorithmic
literacy.
Язык: Английский
AI-Driven Environmental Protection Through Corporate Social Responsibility (CSR) Activities
Practice, progress, and proficiency in sustainability,
Год журнала:
2025,
Номер
unknown, С. 233 - 260
Опубликована: Янв. 31, 2025
The
study
is
centered
on
the
convergence
of
AI
and
corporate
social
responsibility
(CSR)
to
promote
environmental
conservation,
focusing
how
can
bolster
CSR
efforts
tackle
issues
like
climate
change,
resource
depletion,
biodiversity
loss.
It
indicates
incorporating
artificial
intelligence
into
sustainability
agendas
transmutes
way
companies
environmental,
social,
governance
concerns
discusses
transformative
potential
AI-driven
solutions
that
corporations
integrate
as
part
their
strategies.
This
chapter
explores
historical
development
from
philanthropy-focused
initiatives
a
holistic
approach
includes
economic,
sustainability;
this
shift
represents
growing
recognition
businesses
must
address
global
impacts
operations.
primary
objective
explore
current
applications
(AI)
in
initiatives,
particularly
those
focused
protection.
Язык: Английский
A bibliometric exploration of the intersection between artificial intelligence and social responsibility: evidence from scopus
Abdelwahab Boubaa,
Bedj Bedj Toufik,
Dhia Smaali
и другие.
Brazilian Journal of Business,
Год журнала:
2024,
Номер
6(4), С. e75821 - e75821
Опубликована: Дек. 11, 2024
Purpose.
This
paper
aims
to
explore
the
intersection
between
artificial
intelligence
(AI)
and
social
responsibility
(SR)
through
a
bibliometric
analysis
of
779
peer-reviewed
articles
published
from
2019
2023
in
Scopus
database.
The
study
employs
tools
such
as
R
Studio
(Bibliometrix)
VOSviewer
identify
key
trends,
influential
authors,
research
clusters
within
this
emerging
field.
Results.
reveals
an
annual
growth
rate
54.46%,
with
significant
contributions
prominent
authors
like
Gupta
S,
Kumar
A,
Mehmood
R,
institutions
Kaunas
University
Technology
Wuhan
University.
keyword
highlights
six
main
clusters:
use
AI
resource
management
focus
on
"water"
"irrigation";
topics
around
"AI,"
"sustainability,"
"corporate
SR,"
"ethics";
applications
"policymaking"
"governance";
related
"energy"
"investments."
Despite
rapid
growth,
gaps
persist,
including
lack
comprehensive
frameworks
integrate
broader
SR
practices,
well
geographic
disparities,
dominant
countries
China,
USA,
UK,
while
regions
Africa
Middle
East
remain
underrepresented.
Scientific
novelty.
contributes
field
by
identifying
critical
current
SR,
particularly
absence
integrated
that
address
ethical
across
multiple
sectors.
It
also
need
for
more
geographically
diverse
studies
calls
interdisciplinary
approach
responsibly
align
practices
goals.
Practical
value.
findings
underscore
importance
fostering
is
not
only
technologically
advanced
but
ethically
grounded,
especially
underrepresented
regions.
By
addressing
existing
encouraging
research,
advocates
responsible
development
enhance
globally,
thus
equitable
sustainable
future.
Язык: Английский