How to Build a Human Page #4

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with superhuman precision.

GAME BEEPS:

'Then, last year, Demis and his team

built a computer programme to play

'the most complex game ever devised -

an ancient Chinese game called Go.'

The aim of the game in Go is to

either capture your opponent's

pieces or to surround areas of the

board and make it your territory.

'In chess, the board is made up of

an eight-by-eight grid.

'This means the number of

possible moves in

'a game can be number-crunched by

a computer.

'With a 19-by-19 board,

Go is a much more complex game.'

Even the best players,

they use their intuition and their

instincts more than calculation.

'Astonishingly, the number of

possible moves is greater

'than the number of atoms in

the universe.'

So, even if you took all the world's

computing power and ran it

for a million years, that would

still not be enough to

brute-force a solution to how to win

Go.

'So, Demis gave a more powerful

computer the same challenge

'it gave the Atari computer five

years before.

'Could it teach itself how to play

the world's most complex

'board game and beat the

world's best player?

'Earlier this year,

Demis took the computer programme

'he'd named AlphaGo to Korea to

play the world champion.'

There was actually a genuine, sort

of,

excitement and, sort of, fear about

what was actually going to happen.

'The man on the right is making the

moves on behalf of AlphaGo.'

That's a very... That's

a very surprising move. I thought...

I thought it was... I thought

it was a mistake! HE LAUGHS

AlphaGo played a move that was just

completely unthinkable for

a human to play.

So, there's two important

lines in Go.

If you play on the third line,

you're trying to take territory on

the side of the board.

If you play on the fourth line,

you're trying to take influence into

the centre of the board.

And what of AlphaGo did is it

played on the fifth line.

And you never do that in the

position that it played in.

And we were actually quite worried,

because obviously at that point we

didn't know if this was,

you know, a crazy move or, you know,

a brilliant, original move.

And then 50 moves later,

that move ended up joining up with

another part of the board...

So, it worked? Sort of magically just

resulting in helping it win the game.

'Demis's AI made headlines around

the world when it won the match.'

We're not there yet, but in the

next, you know, few years,

we would like to get to the point

where you could give it any

data, scientific,

medical or commercial,

and it would find the structures or

these patterns that perhaps

human experts have missed,

and highlight those so that

improvements can be made, yeah.

'I think what's really interesting

about it is the fact that

'this programme can teach itself.'

It can learn from its mistakes.

It can come up with a genuinely

creative solution to a problem.

And really you can apply that

to anything.

'So, if we can give my robot the

ability to learn for itself,

'who knows where it might take us?'

It's so strange.

We're testing

the boundaries of science

with a unique

artificial intelligence test -

building a robot that looks,

sounds and thinks like me.

The team is working on getting

the robot's facial expressions

to work in tandem with the AI.

If you look at

other robots of this type,

this kind of flexible silicon-faced

robot, this is bloody good.

Look at me.

Look at me. Oh!

Spooky!

The heart of the robot

is conversation that seems real

and the software to do this,

the chatbot, has just arrived.

Hello. My name is Gemma Chan.

I am not a robot.

That sounds like Gemma, doesn't it?

I think it sounds like Gemma.

Do you think?

I think that sounds like Gemma.

But it's proving a real challenge to

synchronise the body with the mind.

When we can get all of the actions

going at the same time,

it will look really good.

Hopefully the robot will be able

to pick the right expression

for the right thought.

This is the first stored pose

and it's a little smile.

That's awesome.

I like the look of that.

Will is teaching the robot

180 of the most common movements...

I think she's happy.

...hoping she'll choose

the right ones to react

and be convincing as a human.

Gemma now knows

how to smile forever,

and she will be able to seamlessly

blend from one smile to a frown

to anger to despair and

the whole range of human emotions,

but we have to teach her them.

If we can teach AI almost anything that

involves reasoning and decision-making,

once it has those skills,

what might be the consequences?

God, we're high!

This is the London Gateway dockyard.

Every day, over 20,000 containers

are moved by a highly complex AI

which controls

the logistics and timings

of what happens when and where.

I can only see about five people.

Just ten years ago, a port of

this size would have employed

thousands of workers

to shift these containers.

Today, many of the 500 employees

spend their time

supervising the AI machines.

The AI is incredibly efficient,

moving the containers

in the fewest number of moves.

Like a very basic AlphaGo,

it comes up with solutions faster

than any human would be able to.

Wow, that's a lot of containers.

AI expert and writer Martin Ford

thinks what we're seeing here

reflects the shape of

things to come.

Look out at all these containers

here and think of those

as representing the job market

in the United Kingdom

and imagine 35%, roughly

a third of those, disappearing,

and what would happen to our society

and our economy

if that were to happen.

It's an incredible impact on

all of us and on the economy.

It's something that is

going to be uniquely disruptive,

something we've never seen before

in history

and one of the things

that's really driving it is that

machines in a limited way,

are at least, you know,

they're beginning to think.

And it's not just blue-collar jobs.

You may realise this but

a lot of online journalism

based on statistics, like sports

and business articles, are

increasingly being written by Als.

This is a corporate earnings report

for Star Bulk Carriers,

which is actually one of the

companies that utilises this port.

One of these items

is written by a machine

and one is written

by a human journalist.

Just take a look and see if

you can determine which is which.

Yeah, so the first one...

"Athens, Greece. Star Bulk Carriers

Corporation on Wednesday reported

"a loss of $48.8 million

in its first quarter."

Sounds pretty... Yeah,

that sounds pretty human to me.

And the other one starts...

"This Star Bulk Carriers

Corporation reported

"a net revenue decrease of 14.9%

in the first quarter of 2016."

Which one do you think is human and

which one do you think is a machine?

It's really hard to tell.

Which one is written by AI?

Do you know?

I believe the one on the right

is written by a person

and the one on the left

was written by the machine. Really?

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