AI in the Newsroom: Lessons from the Adoption of The Globe and Mail's Sophi
Journalism Practice,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 18
Published: March 5, 2025
Language: Английский
Ethical Dilemmas and Human Factors in the Application of AI in Cybersecurity
Yanya Viskovich,
No information about this author
Vibha Mohan
No information about this author
Integrated science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 71 - 91
Published: Jan. 1, 2025
Language: Английский
Transforming Talent Acquisition
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 127 - 154
Published: May 2, 2025
Talent
acquisition
is
experiencing
a
revolution
because
to
generative
AI
(Artificial
Intelligence),
which
enhance
automates
repetitive
activities,
offers
data-driven
insights,
and
personalization.
Because
of
this
change
improves
decision-making,
stimulate
diversity,
streamlines
the
hiring
process.
Some
major
trends
in
industry
are
AI-generated
job
descriptions,
resume
screening
automation,
use
chatbots.
In
spite
these
benefits,
Intelligence)
acceptance
recruitment
increases
concerns
about
data
privacy,
bias,
transparency.
Fair
responsible
requires
attention
ethical
issues.
Future
specify
increased
virtual
recruitment,
skills-based
hiring,
AI-enhanced
employee
engagement
productivity.
The
equilibrium
between
efficiency
will
be
vital
as
still
restructure
employment
practices.
Language: Английский
Managing workplace AI risks and the future of work
American Journal of Industrial Medicine,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 2, 2024
Artificial
intelligence
(AI)-the
field
of
computer
science
that
designs
machines
to
perform
tasks
typically
require
human
intelligence-has
seen
rapid
advances
in
the
development
foundation
systems
such
as
large
language
models.
In
workplace,
adoption
AI
technologies
can
result
a
broad
range
hazards
and
risks
workers,
illustrated
by
recent
growth
industrial
robotics
algorithmic
management.
Sources
risk
from
deployment
across
society
workplace
have
led
numerous
government
private
sector
guidelines
propose
principles
governing
design
use
trustworthy
ethical
AI.
As
capabilities
become
integrated
devices,
machines,
industry
sectors,
employers,
occupational
safety
health
practitioners
will
be
challenged
manage
worker
health,
safety,
well-being.
Five
management
options
are
presented
ways
assure
only
enables
machinery,
processes.
play
significant
role
future
work.
The
practice
research
communities
need
ensure
promise
these
new
results
benefit,
not
harm,
workers.
Language: Английский