how are you?

Hi there.

Everything is going extremely

well.

Do you like talking with me?

Yes. Talking to people is my

primary function.

Do you want

to destroy humans?

Please say no.

Okay, I will destroy humans.

No I take it back.

Don't destroy humans.

We developed very lifelike

robots, like Sophia.

And what we want is for those

robots to understand who you

are and to

care.

And then to interact with-

with you in ways that are

natural and therefore

entertaining,

that are engaging,

captivating and unforgettable.

And then help

deliver messages,

educate and

perform any other useful

functions.

And so we have,

even with today's limited AI

capabilities, we can have- We

can have a natural

kind of conversation with

Sophia and we can

perform useful services like

answering questions about

what's going on in the world or

performing information

assistance, customer service kinds

of applications.

And,

with our Professor Einstein,

which is a new product that

we're putting onto the market -

a consumer product,

we can teach basic

science education,

keep your schedule.

We'll give reminders.

Be a friendly companion.

So these are the things that we

can do today.

So in other words we're- we're

pretty far ahead of where we

were 10-20 years ago.

We can now deliver these

capabilities in a low-cost

consumer product with,

you know, Professor Einstein.

And then we expect

that five - 10 years

maybe - down the road that

robots like Sophia

will achieve,

you know, that historic

breakthrough of consciousness

in machines.

That's a very dangerous thought

to a lot of people.

I mean the idea of artificial

intelligence and if a machine

learning is the idea that this

intelligent being continues to

learn, continues to adapt- You

talked about how benevolent

AI.

How do you make sure that AI,

that machine, is learning the

things we want it to be

learning,

not the things we don't want it

to be learning so we don't end

up in an iRobot situation.

Well we

teach

it well,

the way that you teach a child.

And I think that AI now is

at a stage where

it's still an infant.

Still, you know,

cognitively a baby in most

ways.

And in fact it's not even as

smart as a baby in many ways.

However it is-

AI today is smart

in very narrow ways.

Very smart in fact,

exceeding levels human of

genius in some regards you

know for say- for example

playing board games

and- like Go

and Chess et cetera.

In many, many narrow ways it's

very smart. Now artificial

intelligence is

a big deal in the economy

today.

It's- it's making a

huge difference in fast trading

algorithms and in all

kinds of data analytics,

it's getting tons

of funding.

And it's not going to stop.

You really can't stop it.

However most of these

algorithms are not designed

to understand

us and get along with all us.

And so there's a quest among

many groups for

general artificial intelligence

or artificial general

intelligence - AGI

as it's called different

things for different groups.

But the idea is general

intelligence is adaptive.

Unpredictable.

That's kind of inherent -

animal and human intelligence

is unpredictable.

And when these algorithms start

getting really smart,

they're already

doing really surprising

things. So if they're truly

conscious and creative,

I think part of it is that

though they'll be

unpredictable.

My feeling is that we don't

want that to be alien

or feral like you

know- we want it to be raised

to be close to us to,

earn our trust,

and for us to be able

to really understand it

and for it to understand us.

And that's where the human like

social interface comes in

and when it

raises it among us.

It means that it earns our

trust.

It's right there in your face

and can't be denied.

You're not hiding behind

closed doors in some server

farm where it's you know

grown out of sight,

out of mind.

And so- so in that sense,

I think it's- it's

a race against time to see

who's algorithms becomes smart first.

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