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The
debate
on
artificial
intelligence
and
copyright
revolves
around
the
definition
of
original
creation.
AI
systems
pose
new
legal
and
ethical
questions
in
this
regard.
Creativity
develops
through
connections.
Shakespeare
was
inspired
by
historical
chronicles
and
folktales.
Van
Gogh
studied
Japanese
prints,
the
Beatles
began
by
playing
American
rock.
Artists
are
always
reinterpreting
earlier
works.
In
a
sense,
artificial
intelligence
does
the
same
thing.
So
where's
the
difference?
The
controversy
over
the
formation
of
AI
companies
in
the
industry
very
conveniently
liken
AI
models
to
tools
like
Photoshop
or
audio
workstations.
We
present
them
as
supports
for
creativity,
similar
to
a
camera
for
a
photographer.
Creators
and
intellectual
property
rights
holders
sometimes
dispute
this
interpretation.
AI
systems
actually
train
on
databases
of
protected
works,
usually
without
permission
or
compensation,
although
amicable
solutions
to
these
disputes
are
beginning
to
spread
in
this
regard.
The
analysis
of
millions
of
works
obviously
exceeds
the
limits
of
fair
use
and
normal
artistic
inspiration
typical
of
people.
Human
and
machine
learning,
fundamental
differences,
artists
filter
influences
through
experiences,
emotions,
and
personal
vision,
creating
original
transformations.
AI
systems
operate
by
replication
and
statistical
analysis
of
training
data.
They
generate
more
or
less
random
combinations,
but
do
not
understand
or
transform
the
influences
they
are
inspired
by.
In
a
sense,
nothing
truly
original
is
created
by
this
method.
At
present,
this
is
the
difference
between
the
two
types
of
creativity.
Proposals
for
the
future,
possible
solutions
to
solve
or
mitigate
these
problems
include
systems
to
track
the
use
of
works
in
AI
training
revenue
sharing
mechanisms,
public
registries
of
training
data
with
opt-ins
for
creators,
frameworks
for
consent
and
compensation,
the
search
for
new
solutions,
litigation
threatens
to
stall
innovation.
Large
companies
succeed
in
enforcing
and
exploiting
their
copyrights,
while
artists
with
smaller
budgets
struggle
to
protect
their
rights
and
the
source
of
their
income.
The
evolution
of
AI
requires
regulatory
clarity
and
balance
in
protecting
diverse
and
sometimes
conflicting
interests.
Reflections
on
creativity,
the
distinction
between
human
content
and
AI
will
become
increasingly
complex.
In
a
context
where
AI
generates
reflections
on
its
own
impact,
value
and
authenticity
of
human
expression
must
be
preserved.
The
combination
of
human
and
artificial
creativity
leads
to
entirely
new
art
forms,
where
technology
does
not
replace
but
amplifies
the
human
ability
to
express
emotions,
ideas,
and
worldviews.
In
this
scenario,
the
value
of
art
derives
not
from
its
origin,
human
or
artificial,
but
from
its
ability
to
connect
deeply
with
the
human
experience
and
stimulate
meaningful
reflections
on
our
condition.
True
creative
authenticity
will
always
reside
in
the
ability
to
touch
deep
cords
of
the
human
soul,
arouse
genuine
emotions,
and
stimulate
meaningful
reflections.
Whether
this
is
done
through
traditional
tools
or
advanced
algorithms
is
secondary
to
the
emotional
and
intellectual
impact
of
the
work
itself.
Welcome
to
Electe's
Newsletter,
English.
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It
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stories
and
discoveries
about
artificial
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in
business,
like
how
companies
are
using
AI
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decisions,
what
new
AI
tools
are
emerging,
and
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