AI-Driven Solutions for Safeguarding Healthcare Data: Innovations in Cybersecurity
Sabira Arefin,
Mia Simcox
International Business Research,
Год журнала:
2024,
Номер
17(6), С. 74 - 74
Опубликована: Ноя. 29, 2024
AI
in
healthcare
data
security
is
a
significant
development
since
progressively
leaning
towards
electronic
health
records,
telemedicine,
and
mobile
apps.
These
technologies
have
greatly
enhanced
the
quality
of
patient
care
operation
efficiency.
However,
at
same
time,
they
also
assumed
considerable
hazards
by
opening
up
patients'
information
to
cybercriminals.
It
noteworthy
that
organizations
are
especially
attractive
hackers
work
with
personal,
financial,
medical
data.
While
initial
levels
cyber
defense
include
firewall
systems,
encryption
security,
user
access
controls,
no
longer
sufficient
combat
today's
advanced
threats,
including
ransomware,
phishing,
APTs,
etc.
Drawing
on
literature,
this
paper
explores
importance
protecting
while
describing
its
strengths
real-time
threat
detection,
anomaly
prediction,
incident
response.
The
system
can
analyze
make
decisions
for
those
large
sums
much
faster
even
more
efficiently
detecting
responding
threats
organization's
than
traditional
methodologies.
Besides,
enhances
applying
encryption,
anonymization,
compliance
regulatory
requirements,
making
healthcare's
sensitive
secure,
accurate,
accessible
it
remains
protected.
introduction
has
some
complications.
Privacy
constraints
patients,
potential
issues
biased
algorithms,
high
cost
integration,
adversarial
attacks
algorithms
greatest
challenges
implementing
(Mennella
et
al.,
2024).
Still,
future
great
potential.
New-generation
such
as
federated
learning,
quantum-resistant
intelligence
sharing
using
believed
tremendous
industry.
Thus,
utilizing
tools
an
active,
effective,
challenging-responsive
tendency,
which,
now
future,
will
successfully
cope
problem
security.
When
implemented
integrated
appropriately,
these
artificial
secure
from
hacking
save
new
standards
system,
thus
protect
confidence,
which
all
experience
better
patients.
Язык: Английский
Artificial Intelligence and Machine Learning in eCommerce
Advances in electronic commerce (AEC) book series/Advances in electronic commerce series,
Год журнала:
2024,
Номер
unknown, С. 31 - 58
Опубликована: Сен. 13, 2024
This
chapter
examines
the
transformative
implications
of
artificial
intelligence
(AI)
and
machine
learning
(ML)
on
eCommerce
security
operations.
AI
ML
technologies
are
transforming
sector
by
streamlining
supply
chains,
enhancing
inventory
management,
providing
better
customer
experiences
through
personalized
recommendations.
Using
real-time
data
predictive
algorithms,
businesses
can
efficiently
manage
stock
levels
forecast
demand.
In
terms
security,
provide
effective
means
detecting
mitigating
fraud,
protecting
personal
data,
ensuring
secure
transactions.
delves
into
numerous
applications
benefits
in
eCommerce,
highlighting
their
critical
roles
increasing
efficiency,
improving
consumer
satisfaction,
operations
a
fast-paced
online
market.
Язык: Английский
Leveraging Artificial Intelligence (AI) for the Maintenance of Science Laboratory Equipment
Deleted Journal,
Год журнала:
2024,
Номер
16(1), С. 131 - 148
Опубликована: Окт. 28, 2024
The
dire
need
for
proper
maintenance
of
Science
Laboratory
Equipment
(SLE)
to
attain
efficiency,
optimal
results
and
durability
cannot
be
overemphasized.
To
that
end,
this
study
proposes
the
leveraging
AI
optimization
efficiency
in
SLE.
relied
on
both
primary
secondary
data.
data
were
sourced
from
twenty
(SL)
professionals,
while
repositories,
databases
websites
internet.
mixed
method
alongside
plausible
descriptive
statistical
tools
was
employed.
analysis
shows
SLE
can
optimized
made
efficient
by
such
purposes.
Regrettably,
public
sector
organizations
are
yet
significantly
integrate
into
concludes
has
capacity
optimize
enhance
It
calls
stakeholders
field
SL
make
concerted
efforts
government
should
help
provide
technologies
concerned
sponsor
training
people
technical
know-how
using
sustaining
these
cutting-edge
SL.
Язык: Английский
Impact of AI on Architecture: An Exploratory Thematic Analysis
Vikram Pasupuleti,
Chandra Shikhi Kodete,
Bharadwaj Thuraka
и другие.
Deleted Journal,
Год журнала:
2024,
Номер
16(1), С. 117 - 130
Опубликована: Окт. 28, 2024
The
huge
impact
of
artificial
intelligence
(AI)
on
various
spheres
is
commonly
attested
in
the
literature.
This
study
informed
by
dire
need
for
more
research
increased
adoption
AI
and
awareness
it
architectural
activities.
It
aimed
at
exploring
architecture,
with
a
view
to
drawing
evidence
from
extant
studies
determine
extent
its
positive
architecture.
Literature
review
process,
interpretive
devices,
content
thematic
analyses
are
employed
show
scholarly
arguments
concern.
Being
an
exploratory
research,
method
qualitative
approach
employed.
relies
observation
secondary
data,
focusing
their
preoccupations
relation
arguments.
data
sourced
online
only
reputable
repositories
databases.
analysis
demonstrates
that
has
been
impacting
positively
broad
field
capacity
optimize
transform
architecture
industry
innovations,
results,
efficiency,
performance,
productivity.
concludes
other
cutting-edge
technologies,
as
technological
transforming
charges
government
stakeholders
ensure
significant
increase
about
AI,
impact,
ethical
concerns.
Ethical
governance
pragmatic
measures
can
help
address
concerns
associated
AI.
Язык: Английский
Ethical and Legal Implications of AI in Cybersecurity
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 387 - 414
Опубликована: Ноя. 22, 2024
The
integration
of
artificial
intelligence
(AI)
in
cybersecurity
presents
significant
advancements
threat
detection,
response,
and
overall
system
protection.
However,
this
rapid
development
brings
forth
critical
ethical
legal
challenges
that
need
to
be
addressed
ensure
responsible
lawful
AI
deployment.
This
research
explores
the
implications
cybersecurity,
focusing
on
privacy
data
protection,
bias
fairness,
accountability
responsibility,
transparency
explainability.
It
also
examines
landscape,
reviewing
existing
regulations,
emerging
standards,
intellectual
property
rights,
liability
issues.
Through
comprehensive
analysis
case
studies,
identifies
several
key
findings:
AI-driven
systems
can
enhance
precision
detection
but
often
lack
transparency,
potentially
leading
study
highlights
a
gap
between
current
frameworks
pace
development,
necessitating
adaptive
regulations.
Язык: Английский
Emerging Paradigms in Non-Profit Governance
Advances in logistics, operations, and management science book series,
Год журнала:
2024,
Номер
unknown, С. 1 - 86
Опубликована: Дек. 20, 2024
This
chapter
explores
the
transformative
potential
of
disruptive
innovations
in
non-profit
governance.
As
technology
and
societal
changes
advance,
non-profits
must
adapt
to
remain
relevant
efficient.
The
discourse
examines
blockchain
technology,
artificial
intelligence
(AI),
decentralized
autonomous
organizations
(DAOs),
gamification,
advanced
financial
models.
Blockchain
enhances
transparency
with
an
immutable
ledger,
boosting
donor
confidence.
AI
offers
superior
data
analytics
understand
behavior,
optimize
resources,
predict
fundraising
trends.
DAOs
use
blockchain-based
smart
contracts
for
participative
governance,
empowering
stakeholders.
Gamification
engages
stakeholders
by
incorporating
game
elements,
appealing
a
tech-savvy
audience.
Advanced
models
like
impact
investing
social
finance
attract
capital
seeking
both
returns
impact.
Integrating
these
trends
can
improve
transparency,
stakeholder
engagement,
robustness,
ensuring
sustainability
promoting
progress.
Язык: Английский
Trends and Applications of AI in Enhancing Public Administration and Services
Advances in electronic government, digital divide, and regional development book series,
Год журнала:
2024,
Номер
unknown, С. 119 - 154
Опубликована: Дек. 13, 2024
This
book
chapter
explores
the
potential
of
AI
in
modernizing
public
administration
and
services
with
a
specific
focus
on
Philippines.
It
examines
how
technologies
improve
administrative
efficiency,
streamline
services,
enhance
decision-making
key
areas
such
as
law
enforcement,
disaster
management,
education,
data
privacy,
cybersecurity,
information
dissemination,
social
legal
practice.
The
highlights
global
trends
innovations
applications
considers
their
implications
for
Philippine
government.
also
addresses
challenges
adoption
including
algorithmic
bias,
privacy
concerns,
technical
constraints.
Drawing
case
studies
examples
from
various
countries,
provides
recommendations
strategic
implementation
Philippines
which
stressed
need
capacity-building,
policy
frameworks,
ethical
considerations
to
ensure
responsible
use
service.
Язык: Английский
Optimization of management processes in central government bodies through the integration of artificial intelligence
Eastern-European Journal of Enterprise Technologies,
Год журнала:
2024,
Номер
6(13 (132)), С. 98 - 105
Опубликована: Дек. 30, 2024
The
primary
object
of
analysis
in
this
study
is
the
impact
artificial
intelligence
(AI)
on
various
departments
a
district
state
administration.
problem
addressed
by
research
was
to
evaluate
key
benefits
and
challenges
using
AI
optimize
management
processes.
results
demonstrated
significant
increase
efficiency
handling
citizen
inquiries,
reducing
processing
time
from
seven
days
two
days,
indicating
high
productivity
implemented
systems.
These
can
be
explained
application
automating
routine
tasks
optimizing
workflows,
which
lead
rapid
inquiries
reduction
administrative
burdens.
Moreover,
increased
internal
consistency
data,
confirmed
Cronbach's
alpha,
indicates
reliability
metrics
assessment
tools
used.
distinctive
features
results,
such
as
transparency
processes,
became
possible
through
integration
latest
technologies,
helped
solve
identified
problem.
allow
serve
an
important
tool
public
administration
reform.
scope
practical
includes
use
enhance
quality
services
processes
Owing
implementation
best
practices
data
cybersecurity,
achieve
better
interaction
efficiency,
promoting
development
transparent
effective
system.
proposed
innovations
could
significantly
improve
with
citizens,
ensuring
greater
satisfaction
compliance
modern
requirements
Язык: Английский