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How to pronounce in writing in Dutch?

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[Music]
primera normal good afternoon I think it's
fantastic everywhere that you take the time in
such nice weather to come and
listen to us and I really
like that the next 15 minutes
can talk to you about my great great
passion and that's all since 20 years
artificial intelligence
now has so in advance who knows what
artificial intelligence is okay
artificial intelligence is actually up
to our basic invading our
lives in different places and
I am not just talking about the
robots that are going to do smarter things
but I I'm also talking about the
government that uses artificial intelligence
to detect fraud
I'm talking about medicine where we
use artificial intelligence
to detect diseases but I'm
actually talking about things like spotify
netflix facebook google that is all
about Zeeland and artificial
intelligence to to do some smart things
and we're going to talk about that honestly today
now if you think about what artificial
intelligence is then you should
also know that it has certain
limitations it has certain risks we are
learning at this moment in him in a world
where there is a bit of tension
bit of fear nephron 80 difference
intelligence and that is I
also completely remove the fear today by
indicating what it is and what it is not because
as always with every hype of a
new technology there are
ambiguities that was the case until
television came that was doing so that the
car was invented
and because of those ambiguities, that
fear is actually coming to the top
now to understand properly what artificial
intelligence is I'm going to take you
to your childhood
when we are born then we
all have brains but
we can see our brains are actually a
bit sweet and on to grow up
to go to school and with our parents
to look through books we are going to
learn things here and I think actually in
two different ways
we learn
things by rules and they
board games we play
it's super shadow chose and so on
we're going to do those are things we
learn by learning rules and other
way of learning is through experience
he if you want to map ride a bicycle if
you want to learn native language then you are
not going to read a book for that and you are going
to
learn it by doing that is where we call learning by
experience
now in the computer world is actually
exactly the same you have toilet type systems
systems that do smart things on the
basis of rules he for those of
you who have already programmed in scratch
arm and such as then differently as his
rules we are not going to
talk about that today
but so you have those systems that smart
systems that learn at the based on
pattern recognition
and that is actually what we call
artificial intelligence
now how does pattern recognition work take a
look back to your chin at the time
as an exercise of the second year of study
who can use the red question mark and
the yes yes yes no the big question mark
on the first piece of
neighbor 981 also yes completely correct
and how do you get that so actually very
simple look your heart at the first
line you look at the second you
actually see a small
pattern there
you do a little trick in your head with
the third line and from there you can
say that it is a nice that is
pattern recognition as we do it with
our head him and the second part
was correct it was not difficult
it there the images is a cat well what
do you
a child actually learns
on daddy mommy's lap with those cardboard and books
because this is a cat that is a dog this
is a boost this is a dog and after a
while that child at four five years
can even say that with a new drawing
that has never seen
go out that is a cat that is also
pattern recognition
now you start laughing because artificial
inte lligence than they actually already
originated last in the last century and
1960 and then we can get started with that exercise
that is linked very quickly
but exercise like right so
recognizing images recognizing
speech recognizing sand that was actually
very very difficult
that actually only came about recently in the
last 15 to 20 years
why was that because computers were not yet
fast enough the systems were
not fast enough to understand that complex matter
strange five year old child can reach the
but the computer has it took a very
long time so it took people to do
people are actually those systems
go up and they are actually
going to make an artificial brain and that is what
artificial intelligence is called
now how words discover those patterns
you will say i would like to go
take you to a question that
may be asked by the
director is the director present
ok ask the director comes to us
today and is really looking i want
you to make a system that automatically
opens the gate when one of the
students is at the door
huh so pia a little camera that has to go back to
the gate does it mean the
door opens automatically when the
student is if it is not students from
this school the gate should not open
was i going to do it in a more typical way i
would take 4 pictures
of all of you of all the students and the school i would take
four pictures and i would also take a few
pictures of the students who are not
in school 3 of those 4 photos I
'm actually going to offer to the system
ah I'll check you what that is division and
that is not division that is a division and
that is not division
after a while that system will be
able to detect itself
to the hand of our face arjan that
is most likely classification and
that is not a student
i will do that before i make that system unstable
there at the
gate i will then pull that
last photo for a while o and when I see in that
last photo that he classifies that correctly
says that is a student
of the school that is none then I can
actually have sympathy with
one I can say
ok that system is done now
that system always works completely correct
no then I go from 90 95 97 percent of
did correct but it actually also has
a small margin of error but I know so
when the next day I install the
system at the door
a student is standing in front of the door that
tries to open automatically with
for example 97 percent chance then my
artificial intelligence is
actually ready now why has it
taken so long since 1960 before we
hear about it everywhere because lives in
the media we see it on the news and so
on
that was actually because we another
aspect
played in the faster computers but
also the digitization
when it was not possible 20 has one this
year and when i studied to
digital to take pictures or to control digital
gates
that is now possible
in the meantime meanwhile I can do it all the way
from the camera through the
artificial intelligence system
to the automatic opening of my
door that all in
one go automate early and
that is actually true because we now see a
lot of the systems now as I have already
explained there are also mistakes that
happen there are mistakes that
can creep in
because the person who trains that system
also makes mistakes is
important to know that we don't
only we are going to do about our face
so that facial alarm clock neat sight
recognition like facebook uses it
you can also do text recognition like
google translate uses it or you can use
speech recognition like our gps
system knows
meanwhile we can
all feed those systems with that new one digital
data and what it is about, they are
going to do smart things with it,
but unfortunately they also go make mistakes
make mistakes what should the efkes think
about and that's what I want
you to talk about today
because look it's such
people had thinking errors now when you look
at a system open the school
postage we do with student or none
division that is quite trivialness
objective dirty are you in that school or
already you are in the school but suppose the
principal asks me to make a system
to automatically determine if
the teacher is whether you are a teacher or not
and then I would like you ask what
is your good teacher and
maybe you saw they
gave an idea that gives good points or this
teacher who is never sick or this
[ __ ] in any case we are going to build a
certain form of subjectivity there
and you would think that is
impossible
we will never use the system
we only have america that has happened us
government and will
build a system to determine which teachers are
good teachers and which are not and she
the system automatically started saying
look teacher abc
don't post there it must be removed from the
school because that is the
system was said it is not a good
teacher and no one comes to
explain
and that is of course true what you say
from there feel I'm not so
happy with that I don't think it's
quite right that study activity that
human thinking errors you sleep in it
I can actually test that myself
if you go to google translate' it
goes into English to have the nurse
and you ask the to be translated into
dutch
will you saw in the nurse but there
are also products male nurses
so there is a construction project
or if you are going to look tonight in
google you type and i want a picture
where we for my presentation of and grandma
then you almost always see white
women with gray hair but to be
other grannies who walked by are those
sweet good grannies and if i
google myself then and i am n so at the moment
I'm straight hours I'm a detail
scientist
I'm an engineer then
I should look something like this see these are
all fallacies of the people who
have actually crept into those
systems
so that is if we make sure
that we want to embrace that artificial intelligence
because it does indeed do
very good things we must first of
all ensure that it really ferris
the de f en vet stands for fair and fair
is actually the same thing we needed
in the time when the very first cars were on the market
we drove the highway we had to make
sure that people knew the rules and
the rules can be done by a bank and the we
actually get the driver's license
so what we are working very hard for now
in the in the in my
world in the world of artificial
intelligence is to ensure that
companies will start using those
smart systems
that day that they have a kind of driving license before
they can activate those systems
that is the f v and the word je bold but
how I want to talk about it but there
are more things that go wrong with artificial
intelligence
developers had actually seen
that we can link those systems together
so the outcome of a system can be
used as income according to
system and you all know
examples
of this your parents' gps system is a
very good example of the raik speaking
to the gps system
the gps system is going to change a text
that text is about looking up something
the shortest way becomes the shortest way for
the translated text and that text is
refunded the participation
that he has to link
artificial intelligence systems
yes if something goes
wrong and mistakes on a mistake then becomes a
bigger mistake but on the other hand
those developers have been
so funky how creative miss to
going to flip the system between are
actually going to use the output of a
system as input and then k do you
get spooky situations that lie a bit in
the domain of human human
characteristics for example
paintings
we normally don't expect a system
to make a painting bieber this beautiful
painting
yes we have mixed feelings and that's
totally right
this is actually a painting that was
made was by a like artificial
intelligence system made in groups
by google and the was ready in less
than a second
and what was the problem or the wash the
wall ball did the system the
system was actually trained to
recognize pictures of people and the
system was presented with a picture of
nature and the computer was suddenly asked by
the people in that picture of
nature we as humans would have
that is that is not a picture of him and that
is a picture of nature
my computer knows annie and her had to
show where the computer where
the people are
this has been sold for more than a
million
you know j know that it was
made back to his systems by going to terceira
or not now myself after wearing another
idyllic harry potter
this is harry potter's latest book
then you haven't been able to
buy
it yet it's written by an artificial
intelligence system
they have namely an
algorithm that has read all the books
he has made sense of the system
have said creator is the next
harry potter book
now you can buy that book but who
would pay for it
who wants there was birthday present a
book that was written and so artificial
intelligence and it's still alive at the
moment a bit spooky the sentences are a
bit weird but that's the world
we are going to
or another one is the last example
in this category
there is a department at university in
canada that is all possible
started reading handwritten texts and
made a system that then
out of time afterwards in text
they are that system from turn around now you can
have a perfect text and say
yes join me in writing then I will come out in
my mother's handwriting or my
doctor came and so you can make doctor's notes
to you can make a will
yes but do we not want more
transparency about that
as end users, we don't really want to
find out anymore where those systems are
placed and how they should
be used and how he actually makes
decisions bronze because they
are all, as I say, very good
things when men like things
technology and the hand come from the
wrong people very
bad things can be done with that
so and that's my second point in the
word je vet it's the t t stands for
transparency
i think that if companies use artificial
intelligence they should be
transparent about how it should be
used become just like what has to buy me our
car or now a book to explain
all the buttons on that
car and what they do and how
to use them
now in bold there is only one letter
that is missing and that she
stands for the responsibility a for
those who could already speak english
accountability take responsibility
it is such that artificial
intelligence very do good things
much better e.g. I can
detect cancer can detect skin cancer
from any specialist
why because such a system
can process many more pictures than a dermatologist
stopped and did can see so those are
very specific examples where
artificial intelligence is winding up
because of the human intelligence
but when it comes to creativity
and answering a question with
empathy
park and then also decorating winter
a computer system can handle it
so for me it's not one or the
other it's actually we have to
recognize each other we did man against the
computer from where we strong points and
where that computer strong venice and
by di e berden to use next to each other
and you have to give each other recognition
because of that we are actually going to make a better
result
so that monkeys we side ability or
responsibility for me is not
only for the parties that use it and
the companies but is also for each
of our
view as the ones who have
now listened carefully who know or who are
starting to think
that friso on this facial recognition at
facebook actually we who are
going to train systems and america over the
last year are tagging our friends
on facebook have said this is
mieke that's lot de so thomas that's
jan meanwhile and then you
all know the all
think that most of you are on
facebook can that system do it
independently because you are so
we actually have those systems start
training
now if you think of trace back siri
used
who already called a series
who will curse on syria remember
where you guys actually to when they
are training you series
how to talk between people
lucy is starting to think in europe there
they yell at each other then she must
not be polite we must not say thank you
to so on
we are those systems on the train so
for me it's absolutely also
important that now that you know that behind all
that they're running all that information
is automatic algorithms that
you yourselves also take responsibility
for handling those systems correctly the
way you treat each other and that's
the a1 of accountabilities of
sense of responsibility the word je
vet
to me it is also the same as the
traffic rules that we have when we go out on
the car now the car tony
bikini and everyone could drive now
that he did i think we will now
all ourselves the rules must be full
and to ensure that artificial
intelligence in
the future free far account support
and transparent
thank you
[Applause]
[Music]
[Applause]

[Music]

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in writing::adverb | Spocien Dictionary

in writing

adverb

as written or printed

Type	Words
Synonyms	on paper

in writing::adjective | Spocien Dictionary

in writing

adjective

written or drawn or engraved

Type	Words
Synonyms	graphic, graphical

How to pronounce in writing in Dutch?

in writing::adverb | Spocien Dictionary

abandonment

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in writing::adjective | Spocien Dictionary

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