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Cognitive explorations: matching the human mind | Annika Grosse | TEDxHamburgSalon


what I would like to do is to share with

you what I did in preparing for this

event today so I have a 10 year old

daughter and I was asking her the other

day darling do you think computers can

be creative because creativity seems to

be the last little area that we can keep

as humans where no computer can really

do something like that and especially as

we have looking to the coding the Vinci

hackathon results so if there is a

question can computers really be

creative and my daughter straightaway

said mom sure they can be creative but

the question is do they really want to

be creative and maybe I would need to

help them to decide what they want to

make and maybe for whom they want to

make it and I think there is definitely

some truth in that not that that my

ten-year-old really has a full view of

the world already but for me personally

when dealing with artificial

intelligence are very much like that

augmented intelligence more because for

me it is an act of co-creation to really

bring value to our life and to our

society and what I want to share is

things that are a little bit outside my

daily job where I’m a consultant working

with doctors or organizations to making

augmented intelligence work there but

things that inspire me and that are in

the field of creation and creativity so

this is what I want to do and I start

with this example so it is so you don’t

have to think so I picked this song not

easy however has anybody heard that song

already so the song not easy is a

special song and I didn’t pick it

because it’s not easy to prepare for

such an event like this of course not

I used this because it is a very special

song it was a song co-created and it is

a cognitive song because a machine

system was working collaborating with

the artists and maybe some of you

already noticed him

it is the Grammy Award winner Alex Da

Kid and he has been collaborating with

this new intelligence system and let

this work we can understand it and

relate very impressive in culture

Watson analyzed millions of lines of

text Wikipedia articles and yell times

from pages from social media blogs and

Wallachia are defining the most prove a

sense from spending covering the way or

joke about blogs or finding the most

pervasive Watson also analyzed the

lyrics & composition for over 26,000 top

100 billboards Watson also analyzed

covering hidden patterns in most song

it’s almost like having a million of

yourself reading million books at once a

million understanding social Sylvia

inches conversation in general I could

once Alex began the music making process

begin so just a short clip so what is

really inspiring for me it is that a

cognitive system sort of read for the

artists cultural data of the last five

years including social media so there

the last five years top hundred

Billboard charts that are coming out

every week and what I felt particularly

attractive for me is the way that the

data was represented to also inspire the

artists to create something that he

wanted to create so he wanted to have a

heart break song and he came up with

it’s not easy so I invite you to listen

to that so it’s a very interesting way

of collaboration so the next example and

I hope we don’t have any – in the room

at the moment so it gets a little scary

so the next thing I don’t know if you

have heard or seen the movie Morgan it’s

an AI thriller and so what the cognitive

system has done here is actually he has

watched hundreds of trailers and sort of

learns and a corpus of knowledge what

makes a good trailer so what is keeping

people at the edge of their seats – and

what is really engaging them to go to

the movies so here so the cognitive

system was also watching this new film

that is coming out and suggested the top

ten sequences that would make and

compose a really cool trailer for this

and let’s see just a short sequence if

he made his job well

[Music]

its first birthday exceeds our wildest

expectations

don’t go in there okay what don’t you go

down there skip don’t be afraid

definitely so you have to judge for

yourself but anyway I think it is a good

example of showing that the

supercomputer did not really do

everything and just cut everything

perfectly but just helping the producer

to maybe not ever see something that

might be relevant for his piece of work

so another fields so anybody an idea

what that is so it is something of

course something that you can taste it

is for the cheese lovers among you it’s

blue cheese tiramisu African style and

this was cooked by a three Michelin star

chef Ono cook Maya in Amsterdam in the

Acorah hotel and was cooked for us at a

conference and it was something that he

co-created with a cognitive system and

so the system learned I think digested

over thousands of recipes learned a lot

of things about local tastes because in

in the world we have local tastes and he

also learned a lot of about chemistry

and things that you might need to know

when dealing with food and for this

three-star chef oh no it was really a

particular interest for him because when

he creates new recipes it can take up to

one year and and he can only remember

he’s really trained he can only remember

four tastes or four ingredients and

think about if this is really for food

and fitting together so what the

cognitive system is doing is really when

creating new dishes also point him to

two synergies and and so the synergy

here was that the cognitive system also

helped to break a barrier because the

cognitive system found out that

mascarpone cheese and blue cheese have

some similarities in the texture in the

and and suggested that this might be

also good taste and maybe he had read

somewhere also where other people were

in some recipes using it so it is

something not to say that this is always

the right thing but just inspiring

people of maybe doing something

differently where we would be restricted

in our thoughts and maybe by our own

tastes or what we had learned previously

and not at all considering maybe

something so here another great example

of what can be done and I don’t like

teas at all and I need to tell you the

blue cheese tiramisu was excellent so

sometimes it is worse also trying out

and exploring new boundaries so I have I

think shared with you a few examples so

where people were exploring things

together in my daily job as consultant I

also have learned that sometimes some

methodology is also helpful and so one

one methodology that I would definitely

like to tell you what is really working

when working with new things new

technologies it’s really to look at the

core of problems and really understands

what is the issue and never delegate

this understand understanding don’t

don’t think that it is a just assume

what the problem is but really ask

people interview them where the doctor

may be so the music lover what they want

to hear and feel an experience in the

moment that they are dealing with this

new talent technology so it’s definitely

a good way of thinking sort of from from

the problem and then have a diverse team

around not only I I augmented

intelligence and and experts but really

domain experts and really creative

energy in the room and then go about in

an agile way and try out explore test

and go and and extend your mind there

another example as I’ve run the

hackathon in Hamburg a few weeks ago on

healthcare so and this was also

something that

I took away so so we invited people on

the topic of health care and we were

bringing experts from the health care

sack sector doctors and advisors in that

space

we brought cognitive technologies and

robots and we also had of course the

creative crowd in the room and so the

interesting bit was one of the winning

teams

invented something to support an

Alzheimer’s patients during the day and

and see if how a robo could support the

Alzheimer’s patients and so for the

other methanation that we had with us on

the hackathon this was something that

they had never considered before and

quite frankly considered unethical to

think about maybe have a robot working

with an Alzheimer’s patients or

something not to think about about but

the interesting thing was so the team

really listened very carefully to the

domain experts and understood what what

is what Alzheimer’s disease is about but

at the same time then started the

creation process and what came out so

what was the Robonaut it’s just after

one week and was so amazing that

everybody involved said okay we need to

carry on so startup forms other

initiatives are starting to really

explore this area not to say this will

be the solution for everything but maybe

just a component that could help so

we’re trying to explore things also with

the right methodology just to find the

ways how to integrate intelligence into

our day-to-day allow life in all aspects

from music to doctors to to may be

boring in processes in a huge

corporation and to make it nice as

something definitely worth whilst

thinking about so but back to the

creative application and as we are not

only approaching the end of my talk

today we are also protein Christmas and

this is my Christmas wish

so I want to have that risk dress for

Christmas so if anybody wants to think

about that so this dress is also special

and it’s cognitive and it’s also a

really nice way of thinking so when you

look closely you see that the dress has

150 embroidered flowers and in each

flower you see in LED lights so and

imagine if I was now on stage with all

the lights on my dress and it could

reflect your social media temperament so

what you feel your sentiments and just

reflects it in the color so rosy or

green aqua would be great because it

would say excitement and what what we

have done here is that sort of from all

social media treats around that event at

the Met Gala from woke so so their

sentiment was analyzed so whether it was

excited or just full of joy joy was rose

Abe a blue was excitement Green was

something else and then the dress sort

of shown in all the different colors of

the temperament and sentiment around

that rest so it would be I think just a

great way of reflecting what you’re just

thinking right now so and I hope it

would be full of joy and excitement when

when I was here with this dress so

coming to the end so I really want to

say that matching the human mind for me

is not only just copying a computer that

is thinking the same way that’s a human

for me it is finding a co-creation

partner and really thinking about

fearlessly

thinking about and exploring the world

how we can integrate that technology

into our daily life because I see a lot

of positive ways of incorporating that

and if we can use that technology for

helping to better diagnose cancer and

finding the best treatments if we can

make a process more efficient and offer

consumer things more more easy I think

that that are great application so it is

a joint way

and it requires also open-mindedness and

and to explore the world and really

finding a great partner but as always

finding a partner this is only not only

one way it’s always two ways so I’ve

asked my favorite cognitive system what

he can find out about myself as a

partner Co for co-creation and this is

what my cognitive system finds out about

me and and maybe this is also of

interest to you so because I’m really

open for finding co-creation partners in

the human world and maybe also in the

world of augmented intelligence and with

that thank you very much [Applause]

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