it’s lying, my name is gauthier
that was a little brief introduction
darling i call it gauthier so
artists in artificial intelligence
I was interested in this question in
iran and is in learning done in
learner via the experience is actually
the question of intelligence
artificial artificial intelligence
it’s something that today
everyone speaks but who does not speak
inevitably call everyone it’s
also something that is at the heart of
all debates rightly or wrongly but
what I propose to you today
is that you have my opinion that a notice
who is a bit naive but who is in
form and on the question so its
discovery
it will lead to the destruction of the layers
inferior art the artist risks to
become a key machine to another
machine
the painting is dead then all this
it’s quotes that have been
pronounced around the 1850s
by great thinkers and thoroughly
reference to the same thing that is
the camera is something that
is very happy today and yet
we could think it
refers to intelligence
artificial so if I decide to you
to talk about that because at the time
we are talking about a scary topic
is talking about a subject that we are talking about
but that very few people
understand and discuss a topic that makes
also river is actually all these
aspects where we will try to address the
today with intelligence
artificial then the intelligence
artificial when we talk about it
important to define what it is because
that this is a very vague notion
so I will give you my definition
intelligence
heaven to the end the intelligence
artificial is the conception of
intelligent systems
here
basically I know that my answer and you
not necessarily satisfied and that’s
because there the problem is valid
in the definition of what
artificial intelligence be it
is in the definition of what is
intelligence itself and
intelligence and writing to define
take for example a task 5 which
would mean discerning what is a
cat of a dog so it must first
know the features that are
specific to a cat or a dog there
must succeed in generalizing these
characteristics and then make some
comparisons from that so that’s
a task that requires that intelligence
now take a task they
want in real
eg taking the decision
start in studies for afterwards
get a diploma and this directory
professionally that’s a notion
which takes a lot more intelligence
or else an intelligence of another
dimension and yet intelligence
artificial is to design
systems that meet these two
problems
so then today we’re going
define the intelligence
artificial through what we know
make
concretely so today we are
able to replicate behaviors
simple humans using algorithms
which are sets of grow
of instruction based on
statistics and with its algorithms one
can therefore replicate behaviors
humans seem that that it can be
used several ways the first
way
it’s going to be to do optimization
for example to perform calculations
complex
a second way it can be
make economies of scale by
example with some examples of
chacha boots that allow
to complete the task of an entire team
of sav so it’s its applications
artificial intelligence and aim
all rockets actually and that’s where
that born the youngest know all
all the misunderstandings around the
artificial intelligence issue
so when we talk about intelligence
artificial we talk about intelligence
artificial
we are expecting something that is
otherwise bigger because it’s
something we’re used to
fantasize and we realize that this
that we sell the startups the
governments and also the
companies is often of intelligence
augmented which is sold as of
artificial intelligence
so with the two friends we started
this project and we wondered what was
the best way to 2 explore this
artificial intelligence question this
project it will be awarded in classes
from the road
he will have raised some big questions
especially is an intelligence
artificial can be independent
is an artificial intelligence
can be creative is that a
artificial intelligence can replace
an artist and is that term
of artificial intelligence will replace
the human being and so we decided
to explore her through art in
experimenting then why there is
a decision that is a little
which in more special I explain you
why right now then the first
reason is that it offers
tangible results including results
observed one can observe
results peel them materialize then
the intelligence part the art forgiveness that
offer know that a track that is
accessible in fact everyone is
more or less familiar with art at its
way with an art form in addition to
that offers a playground that is
different from the scientific field
since his hood results that are
interpretable so actually instead
to have yes and no we get some
yes but names but it must be put
debates that are sometimes more
interesting that the answer herself and
finally it is a practice that is
totally free so actually in
experimenting with it there is no risk of
to be made
surrounded by his own creativity and we
can be surprised by the
results he gets so that’s
not a year
when I talk a lot about a lot
of art forms including specialized ones
rather in the in the painting and the
image generation but it can also
to be music it can be the creation
of music with interactions
between humans and algorithms that can
to be everything that binds to texts so the
scriptwriting
that can be there the creation of speech
music and that can when I say it is
image generation I propose you
is today doing a little exercise
to understand the process of
creativity the real process of
creativity that we try to inculcate in the
machine
in fact creativity it must be seen
like a kind of chain that owns
the link and all these jerseys we’re going
try to replace them by
automating many algorithms and
all the projects we are going to be
around us whether it’s in the
music in the cinema or in art in
for so long the common
to automate some of his ears
so I’m going to ask you to
put in the skin of an algorithm
which we will ask to learn from
create an image from nothing you
are without anything you are asked to create
a picture
the concrete result get that has some
something that will look like that what we have
seen before actually a no thank you screen
now if we give ourselves decency
to this algorithm if given the view
smell the touch
it’s going to give him access to everything
the ponies that will allow
a beginning of learning so that’s
what is called vision by
computer and in fact it’s in our
breaks with the analysis of a pixel image
per pixel to derive shapes from
colors which will allow
the algorithm to have a basis for
learn so imagine now that we
shows you an image if you are asked
to create an image from that there is
a lot of chances that what you
take out it was the picture
so this is bank plans that from
an image
it’s very hard to learn how to create a
picture my whole share since it’s
our only reference inquiry now
we can imagine that if we show
than by showing several images so of
images who are who his body and who
are who are correlated who are who are
not totally different one of
the other
the algorithm will be able to start at
learn to discern common features
of common colors
he’ll be able to come up with a result that
will look like something like this
so that’s the result of this system
cognitive called the canes the
Generative opponent network and segal
they actually allow from a
very large number of images of which exist
timmy the image to create an image
new by learning precisely thanks to the
cambdoge of our cases the vision by
computer while they have some
particularities his particular algorithms
a particularity that is also a
image is different from all
other iron lady stopped automatically
they are a peculiarity that is
own creativity is that actually
whenever they will create something
thing they will create something that
is entirely new it can be
based on the same data and it can
to be with the same formulas each
experience will give something
new and that’s clean to the
human creativity since can not
ask someone to create the same
thing you see at the same time and between
two lanes on guard they were asked
create something
in fact the factors that will influence
this creativity they’re off by
different weights one year for
to complicate things a bit and we can
ask an algorithm to create a
image that is peace so how are we going
do that knowing that the algorithm he has
no idea of this notion of beauty
which is completely subjective then this
that we use to do that was the
beautiful in fact each of the images we
will show the algorithm we will go
labeled as pleasant or very
not pleasant from that we go
able to affix sort of filter is
actually oriented the learning of the
bri to get him to create a result
which is based more on the pictures than
considered to be present
now that we can still complicate
things and we can ask
the algorithm to create an image that is
useful while creating a useful image
we can hope for one more
times with the slats and do
understand to the algorithm an image can
to convey an emotion that an image
can cause a reaction can make
taken can make happy
all those things , so here we are
goes into the very theoretical since
for the moment the research is not there
not yet there and in fact we can hope
with that and with a very very big
number of data allow a
algorithm create you something that
Emotion
afterwards if we’re still pushing
the exercise a little bigger one can
ask the algorithm to create something
something that reflects his
personality
so for that it would be necessary that
the algorithm develops 13
personalities they believe that these
personality traits are different
from those of the mass he attributes to his
traits of physical traits and
colors and who succeed at
to transcribe that as an image and that
for now would not have any
models for the glass and suddenly we are
we are a little bit far from knowing
so as you see the creativity
it can be summarized in eight
steps that allow who are the most
humble complex and that allow to
create something entirely
new in the manner of a human
today we are not at all sure of
everything that makes up this chain of
creativity and we have not at all
the models to replicate each of these
each of his chopsticks
so I told you about the gannes but
of course there are many other models
which enable
to explore creativity but this is
which attracts the most cases pulls the
more shots of attention from the
scientific community
so we took the example of a flower
but we can also create
entire landscapes one can also create
portraits so this is a technology that
is that is really wide and actually at
from the mans enough data has
shown that we can create something
who is who is entirely new to
from this year so if we do
the point one is able to create
images that are new to creating
images that are unique and create
images that are similar to the
reality
so I let you imagine the
timely economic opportunities
who has behind I believe there is
a lot of business students in
the room is also company demand
active so I create this part of
job and I’m going to focus on
consequences what will be the
consequences of the arrival of such
technology on the market
so for that I suggest you come back
to the parallels I did with the
photo so photography it allowed
to automate the process of
reproduction of the shot that allowed
to automate the production process
and it had the effect
to almost not delete a profession
who the artists wings track that was
rather widespread before the east coast we have
seen born a whole new generation
of creative who are the artists
photographers and today there is only in
open it instagram to see that
anyone can be an artist
photographer in his own way so that’s
plus the process of reproduction
automates but it’s the process
creating and automating the
creation process there are a lot of
luck touches the professions that are
by creative definition so these
professions it can be the web
designers and graphic designers and so on
but these professions will not do them
disappear it just goes to provide a
new tool a tool can be seen as
in algorithmic brush cash my
algorithmic pen
value for musicians and in fact
this new tool will allow
artists and creatives to be
just more creative and more
productive so this is something that
in itself is never the beautiful things and
we can imagine seeing the same thing
happened with the photo with precisely
artificial intelligence so in
having that all together today
we can say that if we ever
asks if artificial intelligence
will be the artist of tomorrow bah we can
simply responds is the device
photo and the artist today maybe
is it still the artist remains a
brake human segment so we can one
can be interested in science in mind
these models they are they are very
young people and they will be brought to
develop in the future
these models they will evolve and the
science is something that quest
truth in fact not at all
quest for what we want to hear for
to understand that they read who can
to happen later
vachon actually in applications
that we do this science and for that
I have one word to say it’s
benevolence so its applications and
in the holidays with benevolence
if now there is the question of
skull hand is what the machine is going
replace the human we can say
with a sufficient dose of
benevolence the machine will replace
the human of today but only
allow you the human tomorrow to
prosper by allowing everyone to be
a little more an artist in his own way
thank you
[Applause]
that was a little brief introduction
darling i call it gauthier so
artists in artificial intelligence
I was interested in this question in
iran and is in learning done in
learner via the experience is actually
the question of intelligence
artificial artificial intelligence
it’s something that today
everyone speaks but who does not speak
inevitably call everyone it’s
also something that is at the heart of
all debates rightly or wrongly but
what I propose to you today
is that you have my opinion that a notice
who is a bit naive but who is in
form and on the question so its
discovery
it will lead to the destruction of the layers
inferior art the artist risks to
become a key machine to another
machine
the painting is dead then all this
it’s quotes that have been
pronounced around the 1850s
by great thinkers and thoroughly
reference to the same thing that is
the camera is something that
is very happy today and yet
we could think it
refers to intelligence
artificial so if I decide to you
to talk about that because at the time
we are talking about a scary topic
is talking about a subject that we are talking about
but that very few people
understand and discuss a topic that makes
also river is actually all these
aspects where we will try to address the
today with intelligence
artificial then the intelligence
artificial when we talk about it
important to define what it is because
that this is a very vague notion
so I will give you my definition
intelligence
heaven to the end the intelligence
artificial is the conception of
intelligent systems
here
basically I know that my answer and you
not necessarily satisfied and that’s
because there the problem is valid
in the definition of what
artificial intelligence be it
is in the definition of what is
intelligence itself and
intelligence and writing to define
take for example a task 5 which
would mean discerning what is a
cat of a dog so it must first
know the features that are
specific to a cat or a dog there
must succeed in generalizing these
characteristics and then make some
comparisons from that so that’s
a task that requires that intelligence
now take a task they
want in real
eg taking the decision
start in studies for afterwards
get a diploma and this directory
professionally that’s a notion
which takes a lot more intelligence
or else an intelligence of another
dimension and yet intelligence
artificial is to design
systems that meet these two
problems
so then today we’re going
define the intelligence
artificial through what we know
make
concretely so today we are
able to replicate behaviors
simple humans using algorithms
which are sets of grow
of instruction based on
statistics and with its algorithms one
can therefore replicate behaviors
humans seem that that it can be
used several ways the first
way
it’s going to be to do optimization
for example to perform calculations
complex
a second way it can be
make economies of scale by
example with some examples of
chacha boots that allow
to complete the task of an entire team
of sav so it’s its applications
artificial intelligence and aim
all rockets actually and that’s where
that born the youngest know all
all the misunderstandings around the
artificial intelligence issue
so when we talk about intelligence
artificial we talk about intelligence
artificial
we are expecting something that is
otherwise bigger because it’s
something we’re used to
fantasize and we realize that this
that we sell the startups the
governments and also the
companies is often of intelligence
augmented which is sold as of
artificial intelligence
so with the two friends we started
this project and we wondered what was
the best way to 2 explore this
artificial intelligence question this
project it will be awarded in classes
from the road
he will have raised some big questions
especially is an intelligence
artificial can be independent
is an artificial intelligence
can be creative is that a
artificial intelligence can replace
an artist and is that term
of artificial intelligence will replace
the human being and so we decided
to explore her through art in
experimenting then why there is
a decision that is a little
which in more special I explain you
why right now then the first
reason is that it offers
tangible results including results
observed one can observe
results peel them materialize then
the intelligence part the art forgiveness that
offer know that a track that is
accessible in fact everyone is
more or less familiar with art at its
way with an art form in addition to
that offers a playground that is
different from the scientific field
since his hood results that are
interpretable so actually instead
to have yes and no we get some
yes but names but it must be put
debates that are sometimes more
interesting that the answer herself and
finally it is a practice that is
totally free so actually in
experimenting with it there is no risk of
to be made
surrounded by his own creativity and we
can be surprised by the
results he gets so that’s
not a year
when I talk a lot about a lot
of art forms including specialized ones
rather in the in the painting and the
image generation but it can also
to be music it can be the creation
of music with interactions
between humans and algorithms that can
to be everything that binds to texts so the
scriptwriting
that can be there the creation of speech
music and that can when I say it is
image generation I propose you
is today doing a little exercise
to understand the process of
creativity the real process of
creativity that we try to inculcate in the
machine
in fact creativity it must be seen
like a kind of chain that owns
the link and all these jerseys we’re going
try to replace them by
automating many algorithms and
all the projects we are going to be
around us whether it’s in the
music in the cinema or in art in
for so long the common
to automate some of his ears
so I’m going to ask you to
put in the skin of an algorithm
which we will ask to learn from
create an image from nothing you
are without anything you are asked to create
a picture
the concrete result get that has some
something that will look like that what we have
seen before actually a no thank you screen
now if we give ourselves decency
to this algorithm if given the view
smell the touch
it’s going to give him access to everything
the ponies that will allow
a beginning of learning so that’s
what is called vision by
computer and in fact it’s in our
breaks with the analysis of a pixel image
per pixel to derive shapes from
colors which will allow
the algorithm to have a basis for
learn so imagine now that we
shows you an image if you are asked
to create an image from that there is
a lot of chances that what you
take out it was the picture
so this is bank plans that from
an image
it’s very hard to learn how to create a
picture my whole share since it’s
our only reference inquiry now
we can imagine that if we show
than by showing several images so of
images who are who his body and who
are who are correlated who are who are
not totally different one of
the other
the algorithm will be able to start at
learn to discern common features
of common colors
he’ll be able to come up with a result that
will look like something like this
so that’s the result of this system
cognitive called the canes the
Generative opponent network and segal
they actually allow from a
very large number of images of which exist
timmy the image to create an image
new by learning precisely thanks to the
cambdoge of our cases the vision by
computer while they have some
particularities his particular algorithms
a particularity that is also a
image is different from all
other iron lady stopped automatically
they are a peculiarity that is
own creativity is that actually
whenever they will create something
thing they will create something that
is entirely new it can be
based on the same data and it can
to be with the same formulas each
experience will give something
new and that’s clean to the
human creativity since can not
ask someone to create the same
thing you see at the same time and between
two lanes on guard they were asked
create something
in fact the factors that will influence
this creativity they’re off by
different weights one year for
to complicate things a bit and we can
ask an algorithm to create a
image that is peace so how are we going
do that knowing that the algorithm he has
no idea of this notion of beauty
which is completely subjective then this
that we use to do that was the
beautiful in fact each of the images we
will show the algorithm we will go
labeled as pleasant or very
not pleasant from that we go
able to affix sort of filter is
actually oriented the learning of the
bri to get him to create a result
which is based more on the pictures than
considered to be present
now that we can still complicate
things and we can ask
the algorithm to create an image that is
useful while creating a useful image
we can hope for one more
times with the slats and do
understand to the algorithm an image can
to convey an emotion that an image
can cause a reaction can make
taken can make happy
all those things , so here we are
goes into the very theoretical since
for the moment the research is not there
not yet there and in fact we can hope
with that and with a very very big
number of data allow a
algorithm create you something that
Emotion
afterwards if we’re still pushing
the exercise a little bigger one can
ask the algorithm to create something
something that reflects his
personality
so for that it would be necessary that
the algorithm develops 13
personalities they believe that these
personality traits are different
from those of the mass he attributes to his
traits of physical traits and
colors and who succeed at
to transcribe that as an image and that
for now would not have any
models for the glass and suddenly we are
we are a little bit far from knowing
so as you see the creativity
it can be summarized in eight
steps that allow who are the most
humble complex and that allow to
create something entirely
new in the manner of a human
today we are not at all sure of
everything that makes up this chain of
creativity and we have not at all
the models to replicate each of these
each of his chopsticks
so I told you about the gannes but
of course there are many other models
which enable
to explore creativity but this is
which attracts the most cases pulls the
more shots of attention from the
scientific community
so we took the example of a flower
but we can also create
entire landscapes one can also create
portraits so this is a technology that
is that is really wide and actually at
from the mans enough data has
shown that we can create something
who is who is entirely new to
from this year so if we do
the point one is able to create
images that are new to creating
images that are unique and create
images that are similar to the
reality
so I let you imagine the
timely economic opportunities
who has behind I believe there is
a lot of business students in
the room is also company demand
active so I create this part of
job and I’m going to focus on
consequences what will be the
consequences of the arrival of such
technology on the market
so for that I suggest you come back
to the parallels I did with the
photo so photography it allowed
to automate the process of
reproduction of the shot that allowed
to automate the production process
and it had the effect
to almost not delete a profession
who the artists wings track that was
rather widespread before the east coast we have
seen born a whole new generation
of creative who are the artists
photographers and today there is only in
open it instagram to see that
anyone can be an artist
photographer in his own way so that’s
plus the process of reproduction
automates but it’s the process
creating and automating the
creation process there are a lot of
luck touches the professions that are
by creative definition so these
professions it can be the web
designers and graphic designers and so on
but these professions will not do them
disappear it just goes to provide a
new tool a tool can be seen as
in algorithmic brush cash my
algorithmic pen
value for musicians and in fact
this new tool will allow
artists and creatives to be
just more creative and more
productive so this is something that
in itself is never the beautiful things and
we can imagine seeing the same thing
happened with the photo with precisely
artificial intelligence so in
having that all together today
we can say that if we ever
asks if artificial intelligence
will be the artist of tomorrow bah we can
simply responds is the device
photo and the artist today maybe
is it still the artist remains a
brake human segment so we can one
can be interested in science in mind
these models they are they are very
young people and they will be brought to
develop in the future
these models they will evolve and the
science is something that quest
truth in fact not at all
quest for what we want to hear for
to understand that they read who can
to happen later
vachon actually in applications
that we do this science and for that
I have one word to say it’s
benevolence so its applications and
in the holidays with benevolence
if now there is the question of
skull hand is what the machine is going
replace the human we can say
with a sufficient dose of
benevolence the machine will replace
the human of today but only
allow you the human tomorrow to
prosper by allowing everyone to be
a little more an artist in his own way
thank you
[Applause]
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