Sustainability,
Journal Year:
2023,
Volume and Issue:
15(19), P. 14453 - 14453
Published: Oct. 3, 2023
Artificial
intelligence
gained
a
surge
in
popularity
through
the
release
of
conversational
artificial
tools,
which
enable
individuals
to
use
technology
without
any
prior
knowledge
or
expertise
computational
science.
Researchers,
content
writers,
as
well
curious
minds
may
these
tools
investigate
topics
question.
Environmental
topics,
one
current
public
concerns,
are
covered
by
many
different
kinds
media,
indicating
broad
interest.
To
assess
possibility
using
environmental-related
writing
research,
we
tested
capabilities
on
selected
environmental
topics.
In
particular,
(ChatGPT,
Microsoft
Bing,
Google
Bard)
and
languages
(English,
Spanish,
Korean,
German,
Turkish
Chinese)
via
questions
compared
answers
with
each
other.
Our
results
suggest
that
provide
satisfactory
comprehensive
answers;
however,
found
some
statements
debatable
texts
still
need
be
reviewed
an
expert.
Selected
offer
specific
advantages,
such
providing
references,
although
certain
issues
checked
for
tool.
The
usage
additional
points
within
content;
this
does
not
necessarily
imply
new
facets
arise
solely
from
utilizing
languages,
since
aspects
also
attributed
‘randomness
generated
answers’.
We
asking
same
question
several
times
mostly
generate
random
time,
especially
ChatGPT,
obtain
more
content.
This
paper
investigates
the
direct
risks
and
harms
associated
with
modern
text-to-image
generative
models,
such
as
DALL-E
Midjourney,
through
a
comprehensive
literature
review.
While
these
models
offer
unprecedented
capabilities
for
generating
images,
their
development
use
introduce
new
types
of
risk
that
require
careful
consideration.
Our
review
reveals
significant
knowledge
gaps
concerning
understanding
treatment
despite
some
already
being
addressed.
We
taxonomy
across
six
key
stakeholder
groups,
inclusive
unexplored
issues,
suggest
future
research
directions.
identify
22
distinct
types,
spanning
issues
from
data
bias
to
malicious
use.
The
investigation
presented
here
is
intended
enhance
ongoing
discourse
on
responsible
model
deployment.
By
highlighting
previously
overlooked
gaps,
it
aims
shape
subsequent
governance
initiatives,
guiding
them
toward
responsible,
secure,
ethically
conscious
evolution
models.
International Journal of Pharmaceutics,
Journal Year:
2024,
Volume and Issue:
652, P. 123741 - 123741
Published: Jan. 3, 2024
Artificial
intelligence
(AI)
is
a
revolutionary
technology
that
finding
wide
application
across
numerous
sectors.
Large
language
models
(LLMs)
are
an
emerging
subset
of
AI
and
have
been
developed
to
communicate
using
human
languages.
At
their
core,
LLMs
trained
with
vast
amounts
information
extracted
from
the
internet,
including
text
images.
Their
ability
create
human-like,
expert
in
almost
any
subject
means
they
increasingly
being
used
as
aid
presentation,
particularly
scientific
writing.
However,
we
wondered
whether
could
go
further,
generating
original
research
preparing
results
for
publication.
We
tasked
GPT-4,
LLM,
write
pharmaceutics
manuscript,
on
topic
itself
novel.
It
was
able
conceive
hypothesis,
define
experimental
protocol,
produce
photo-realistic
images
printlets,
generate
believable
analytical
data
range
instruments
convincing
publication-ready
manuscript
evidence
critical
interpretation.
The
model
achieved
all
this
less
than
1h.
Moreover,
generated
were
multi-modal
nature,
thermal
analyses,
vibrational
spectroscopy
dissolution
testing,
demonstrating
multi-disciplinary
expertise
LLM.
One
area
which
failed,
however,
referencing
literature.
Since
appeared
though,
suggest
certainly
play
role
but
input,
interpretation
validation.
discuss
potential
benefits
current
bottlenecks
realising
ambition
here.
Trends in Genetics,
Journal Year:
2024,
Volume and Issue:
40(10), P. 891 - 908
Published: Aug. 7, 2024
Harnessing
cutting-edge
technologies
to
enhance
crop
productivity
is
a
pivotal
goal
in
modern
plant
breeding.
Artificial
intelligence
(AI)
renowned
for
its
prowess
big
data
analysis
and
pattern
recognition,
revolutionizing
numerous
scientific
domains
including
We
explore
the
wider
potential
of
AI
tools
various
facets
breeding,
collection,
unlocking
genetic
diversity
within
genebanks,
bridging
genotype–phenotype
gap
facilitate
This
will
enable
development
cultivars
tailored
projected
future
environments.
Moreover,
also
hold
promise
refining
traits
by
improving
precision
gene-editing
systems
predicting
effects
gene
variants
on
phenotypes.
Leveraging
AI-enabled
breeding
can
augment
efficiency
programs
holds
optimizing
cropping
at
grassroots
level.
entails
identifying
optimal
inter-cropping
crop-rotation
models
agricultural
sustainability
field.
Advances in information security, privacy, and ethics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100 - 126
Published: April 9, 2024
This
chapter
summarizes
the
function
that
artificial
intelligence,
especially
ChatGPT,
plays
in
providing
help
to
customers
hotel
business.
Implementing
AI-driven
solutions
radically
altered
how
hotels
and
other
businesses
hospitality
industry
communicated
with
their
customers.
Chatbots
driven
by
AI
models
such
as
ChatGPT
were
used
address
regular
inquiries
services.
These
chatbots
helped
around
clock,
individualized
recommendations,
supported
several
languages
communicate
Integration
previously
installed
management
systems
ongoing
development
response
patrons'
comments
standard
operating
procedures
hospitality.
However,
it
was
noted
deliver
unique
experiences
for
guests,
still
necessary
strike
a
balance
between
human
interaction.
The
information
presented
this
implies
intelligence
will
play
an
increasingly
important
role
customer
service
within
industry;
nonetheless,
interaction
always
be
indispensable.
New Phytologist,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Summary
The
shift
to
reductionist
biology
at
the
dawn
of
genome
era
yielded
a
‘parts
list’
plant
genes
and
nascent
understanding
complex
biological
processes.
Today,
with
genomics
in
full
swing,
advances
high‐definition
enabled
precise
temporal
spatial
analyses
systems
down
single‐cell
level.
These
insights,
coupled
artificial
intelligence‐driven
silico
design,
are
propelling
development
first
synthetic
plants.
By
integrating
approaches,
researchers
not
only
reimagining
plants
as
sources
food,
fiber,
fuel
but
also
‘environmental
thermostats’
capable
mitigating
impacts
changing
climate.
Trends in Plant Science,
Journal Year:
2024,
Volume and Issue:
29(2), P. 101 - 103
Published: Feb. 1, 2024
This
special
issue
of
Trends
in
Plant
Science
presents
a
collection
tools
that
enable
plant
researchers
to
tackle
the
challenges
21st
century,
with
artificial
intelligence
(AI)
taking
centre
stage.
I
have
confess
being
sci-fi
buff.
For
me,
one
most
fascinating
aspects
genre
is
it
offers
glimpse
future.
The
current
hot
topic
AI
best
example.
Although
seems
very
21st-century
topic,
'rise
machines'
was
first
predicted
movies
more
than
50
years
ago.
Many
possibilities
for
application
been
foreseen,
from
simple
tasks,
such
as
speech
recognition,
machines
over
world
entirely.
Famous
takeover
examples
are
space
ship's
computer
system
HAL
1968
movie
2001:
A
Space
Odyssey,
and
Skynet
AI-system
Terminator
(1984–2019).
In
nutshell,
benefits
lie
its
power
analyse
vast
amounts
complex
data,
identify
certain
patterns
relevant
specific
query,
produce
model,
then
adapt
continue
improve
model
new
data
input.
enables
automation
routine
tasks
humans
would
not
only
find
monotonous,
but
also
be
unable
complete
same
accuracy
or
speed.
Current
versions
go
far
providing
support
decision-making.
has
yet
taken
by
equivalent,
undoubtedly
crept
into
many
our
life
will
transform
it.
That
poses
several
questions:
Where
we
now?
going?
Should
afraid,
should
embrace
this
transformation?
There
few
areas
computer-based
left
already
infiltrated
AI.
Some
mundane,
robotics
manufacturing,
facial
recognition
smart
phones,
surveillance
cameras
homes,
chatbots
dealing
customer
queries,
content
moderation
social
media,
predicting
market
developments
finance,
tailoring
educational
material
schools.
Other
applications
might
still
appear
futuristic
fast
gaining
momentum,
self-driving
cars,
talking
humanoid
robots,
spacecraft
navigation.
We
quite
reached
point
where
AI-led
technology
can
cure
diseases,
common
cold
cancer
genetic
disorders
(as
showcased
original
1966–1969
Star
Trek
TV
series).
However,
medicine
greatly
benefitted
introduction
services
including
highly
accurate
diagnostics,
personalised
treatment,
robotic
surgery.
advances
robots
now
found
robot
science,
part
labs
large-scale
performed
minimal
human
oversight.
Another
prominent
example
use
high-throughput
phenotyping
facilities
used
research.
addition,
farming,
oldest
activities,
seen
an
revolution
recent
years.
leading
way
precision
agriculture
practices
monitoring
health
weather
conditions,
managing
soil
growth
innovative
approaches,
vertical
[1.Kumar
S.
et
al.Vertical
farming:
moving
environmental.Trends
Sci.
2020;
25:
724-727Abstract
Full
Text
PDF
Scopus
(103)
Google
Scholar].
What
does
future
hold
science?
Several
articles
highlight
some
uses
AI:
prediction
[2.Lou
Y.
al.Genomics
refined:
AI-powered
perspectives
on
structural
analysis.Trends
2024;
29:
123-125Abstract
(2)
Scholar],
processing
[3.Sears
R.G.
al.AI
cell
metabolic
engineering.Trends
126-129Abstract
(1)
machine
learning
[4.Matese
A.
al.Are
unmanned
aerial
vehicle-based
hyperspectral
imaging
advancing
crop
science?.Trends
196-209Google
Given
above
AI,
there
potential
concerns
regarding
proper
fast-evolving,
game-changing
technology.
An
raising
question
replacing
permanently
2023
US
actors'
union
strike
fear
actors
replaced
AI-generated
digital
twins.
dispute
mainly
who
gains
control
'twin'
financially,
highlights
create
likeness
quality
allows
improper
'deepfakes'.
October
issue,
Geitmann
Bidhendi
highlighted
shortcomings
context
research,
bias
lack
diversity
[5.Geitmann
A.J.
blindness
language
models.Trends
2023;
28:
1095-1097Abstract
It
important
aware
these
ethically
responsibly.
Harfouche
al.
[6.Harfouche
A.L.
ethics
road
responsible
science
societal
welfare.Trends
104-107Abstract
Scholar]
provide
useful
summary
ahead
necessary
guidelines
policies
prevent
biases
implement
so
benefit
all
researchers,
ethical
socially
way.
With
improving
lives,
what
about
threat
actually
us?
Agathokleous
[7.Agathokleous
E.
al.One
hundred
questions
facing
derived
using
large
model.Trends
210-218Google
nicely
showcase
how
ChatGPTi
approach
speed
up
long-term
project
relies
input,
shows
creativity
cannot
matched
So
far,
when
unique
thinking
required,
outperform
machines.
predictive
help
make
better
informed
decisions
quickly,
replace
factor.
extends
publishing.
launch
2022
shone
spotlight
models
(LLMs).
specialised
class
generative
LLMs
were
designed
comprehend
generate
language.
Through
memory
deep
techniques,
able
meaningful
topically
replies
queries.
answer
(e.g.,
service
chatbots)
translate
languages.
When
trained
fine-tuned
performance
task
provided
initial
story
elements,
creative
human-like
text.
freely
available
BLOOM,
Claude
2,
GPT-J,
Llama,
RoBERTa),
tempting
leverage
writing
scientific
manuscripts.
obvious
publishing,
saving
time
information
retrieval,
summarising
content,
and/or
translating
foreign
languages,
mining
literature.
Elsevier/Cell
Press
assist
editorial
process
years,
identifying
suitable
reviewers,
applying
AI-based
anti-plagiarism
service,
designing
user-friendly
workflows
(a
full
list
Elsevier's
principles
onlineii).
member
Committee
Publishing
Ethics
(COPE),
committed
uphold
publishing
and,
such,
limits
AI;
example,
editors
allowed
upload
manuscripts
tool
review,
evaluation,
decision-making
process.
authors
standards
therefore,
updated
author
clarify
below
guidance
refers
process,
draw
insights
research
process:•Where
AI-assisted
technologies
they
do
readability
Applying
done
oversight
control,
carefully
review
edit
result,
because
authoritative-sounding
output
incorrect,
incomplete,
biased.
listed
co-author
cited
author.
Authorship
implies
responsibilities
attributed
to,
by,
humans,
outlined
policy
authorsii.•Authors
must
disclose
adding
statement
at
end
their
manuscript.
published
work.
no
doubt
here
stay,
while
secretly
hoping
predictions
come
true.
am
voting
'yes'
curing
'no'
domination.
any
case,
keeping
strict
important.
Of
featured
broadest
possible
range
takes
role
here.
Nevertheless,
fingertips
scientists
century.
include
novel
methods,
click
chemistry
[8.Chen
M.-M.
al.Applications
opportunities
science.Trends
167-178Google
well
hardware
materials,
wearable
electrochemical
sensors
[9.Zhou
al.Wearable
small-molecule
detection.Trends
219-231Google
nanomaterials
[10.Mukherjee
al.Nanovehicles
melatonin:
journey
agriculture.Trends
232-248Google
Scholar,11.Gohari
G.
al.Next
generation
chemical
priming:
little
nanocarrier
friends.Trends
150-166Google
Two
combination
another
innovation
[12.Sarkar
al.Cyber-agricultural
systems
breeding
sustainable
production.Trends
130-149Abstract
(3)
Scholar,13.Harfouche
al.Metaverse
innovating
learning.Trends
266-267Abstract
means
comprehensive
related
topics
follow
throughout
year.
invite
you
explore
welcome
feedback
[email
protected].
ihttps://chat-gbt.io/
iiwww.elsevier.com/en-gb/about/policies-and-standards/responsible-ai-principles
Telematics and Informatics,
Journal Year:
2024,
Volume and Issue:
94, P. 102187 - 102187
Published: Sept. 1, 2024
The
integration
of
generative
artificial
intelligence
technology
into
research
environments
has
become
increasingly
common
in
recent
years,
representing
a
significant
shift
the
way
researchers
approach
their
work.
This
paper
seeks
to
explore
factors
underlying
frequency
use
AI
amongst
professional
environments.
As
survey
data
may
be
influenced
by
bias
towards
scientists
interested
AI,
potentially
skewing
results
perspectives
these
researchers,
this
study
uses
regression
model
isolate
impact
specific
such
as
gender,
career
stage,
type
workplace,
and
perceived
barriers
using
on
AI.
It
also
controls
for
other
relevant
variables
direct
involvement
or
development,
collaboration
with
companies,
geographic
location,
scientific
discipline.
Our
show
that
who
face
adoption
experience
an
11
%
increase
tool
use,
while
those
cite
insufficient
training
resources
8
decrease.
Female
7
decrease
usage
compared
men,
advanced
19
Researchers
associated
government
advisory
groups
are
45
more
likely
tools
frequently
than
roles.
for-profit
companies
%,
medical
institutions
hospitals
16
15
respectively.
contributes
deeper
understanding
mechanisms
driving
valuable
implications
both
academia
industry.