AI, Robot Click

This week, we are looking at the

future of work. But which jobs will

go to the robots? Stock pickers?

Nurses? My?

Mr Victor Sherlock of Horsham has a

robot at the bottom of his garden

and he wants to teach it to mow the

lawn. Artificial intelligence.

Everyone is talking about it. Over

the years we have seen a developer.

We have seen it evolve. This is the

Watson that won Jeopardy. We have

travelled the world to see AI ever

tries to treat cancer.

It studies of

millions, tens of millions of

examples from the assemblage of

scientific literature.

Predict

crime.

Understand the economy.

Chamois companies with revenue

between $25 million and $60 million.

-- show me company 's.

And save the

world. So it may not yet have

conquered DIY. But we keep hearing

how a I will change everything.

Technology will make man be more

intelligent form of expression.

However, it is the bad side of these

algorithms that always seems to get

the headlines.

The fear that

tireless robots infused with

artificially intelligent brains may

one day do us all out of our jobs.

With interaction, with use, with

feedback is actually gets gradually

smarter. From bots that can talk

like Arthur.

You want to help you

reset your password question mark

walk like a. And even, perhaps,

think like us. We have been warned

that the fourth Industrial

Revolution is coming.

The biggest

difference between us and the

Industrial Revolution in the 1800s

if the speed.

Millions of workers

are on the move.

So what is going

on? What jobs are really at risk?

What is the future of work? And we

start with healthcare workers. For

almost 70 years, the UK's a national

health service has been a free

service at the point of care. That

model is under strain as the

population ages and chronic health

and conditions increase while

resources shrink. A recent study

showed that almost two thirds of

doctors think that patient safety

has deteriorated with one dog to say

in we are not robots. We are human

staff needs. Should be NHS turned to

robots to ease the strain on human

staff? Jane has been looking at how

data driven technology could

transform care in the NHS. Good

artificial intelligence help save

the NHS? More people are looking at

innovative ways to ease the workload

of doctors and nurses. Computer

programmes can rapidly analyse huge

quantities of information in ways

that humans do not have the time nor

brain capacity to do. In 2016,

Google's the mind was developing an

algorithm to identify abnormalities

in eye scans. Now it has submitted

its findings to a medical journal

for review. It could mean its

systems are more effective than

humans at diagnosing eye disease.

Deep mined taught its machine

learning software using a million

eye scans. I will see three other

projects integrating AI and data

gathering. Dementia is now the

leading cause of death in the UK. At

this hospital in carpentry, software

is being tested to remotely monitor

patients. This is one of the rooms

on the ward. It looks at any other

hospital room except in this one

there are two infrared illuminators

and a sensor monitoring my movements

including when I'm asleep. Oxy

health uses a standard digital

camera and a tongue twisting

science. Everytime your heartbeat is

your skin briefly flashes red. We

can not see this but the sensor in

the camera can detect these

so-called micro- blushers. It even

picks up my vital signs when I am

hiding under a table in the room as

those micro- blushers can still be

seen on my arm. There is an alert if

I leave my bed. And the nurse can

click on a live feed to see what is

happening and determine whether they

need to come and check on me right

away.

For the staff, initially, when

it looked like we had a camera in a

box in a room they were not happy

about it. But when we spent some

time with Oxy house, they explained

to them and they see how it works,

they love it. They love the fact it

gives you an extra... And extra

support.

The project is in the pilot

stage in is awaiting medical

certification. The data collected is

being analysed remotely by a team in

Oxford and will be used to train the

programme to be more predictive.

We

have never had these capabilities as

a species, to constantly get our

rate reading and routine data. There

is no reason as we combine and with

use the data using a I we cannot

detect the onset of dementia or read

getting worse. We can detect

problems early so you can stay in

your own home or a comfortable

setting without coming into

hospital. That will save a huge

amount of time.

Saving critical time

was the motivation behind automating

processes at NHS blood and

transplant. 4500 people receive a

transplant each year but 6500 are on

the list. Everyday, three people die

waiting for a transplant. A lot of

information needs to be sifted

through to make life-and-death

decisions. The NHS is now using

public cloud technology from IBM to

help maintain huge databases that

used to be managed with a marker and

a whiteboard.

By working with some

of this automated technology we can

make sure we are making the best

possible decisions and that our

clinical teams are thinking through

the best outcomes for all of the

patients on the waiting list, and

that our staff, who are often

working until three in the morning

in a high-pressure environment,

needing to allocate organs quickly,

they are supported by this

technology.

Collecting all this

personal data has led some to ask if

it is stored securely enough.

At the

challenges have in the public sector

is the perception that maybe the

public is less secure than an on

premises data centre which is not

the case. We have an obligation,

obviously, to many customers to

ensure that the public cloud is kept

secure and patched and maintained

effectively. The fallout from it not

being in that condition is quite

severe.

In the future, the team

hopes that artificial intelligence

will be able to predict how long

people will be on the waiting list

for an organ. There is an average

waiting time of two weeks to see a

doctor in the UK. Disk and drop to

two hours if you register with AGP

at hand. You can sign up if you live

or work within certain zones of

London. You need to give up your

regular prat doctor and register

with the remote surgery. 26,000

people have registered so far. I had

a chance to test it out, pretending

I had a case of food poisoning.

First I went through a triage with a

chat bot on an app who recommended I

speak remotely to a real-life

Doctor. The doctor recommends

further care and can even send a

prescription to a pharmacy. The

artificial intelligence in the app

draws on union of data points and

can cross referenced the latest

medical research from journals and

studies around the world.

You use

artificial intelligence to tell you

whether or not to see a doctor. You

are always free to see a doctor

anyway but what we find is that 40%

of the people who are reassured that

they have everything they need,

based at there.

The app has faced

witticism from the Royal College of

GPs to say that younger users are

being cherry picked for the service.

NHS England lodged a formal

objection to the plan out -- rollout

beyond London.

I have think we need

to give people safe and equitable

care. If we roll things out too

quickly without ensuring that safety

and fairness with Ryan the risk of

causing unintended harm. So it is

wise and sensible but independent

evaluation is now going on of these

new technologies so that people can

be reassured that they are safe and

they are fine for everybody.

I think

it is wrong. I genuinely think that

it is just not right. I cannot

understand why people are hesitant.

Often it is because they are scared

of new technology. They do not know

what the consequences are. And that

is fine. They need to check that and

reassure them self. There is nothing

wrong with that. I have seen three

ways companies are working with data

to help with monitoring, automation

and decreasing waiting times. All

areas that could help an

overstressed health service. Could

artificial intelligence helped to

save the NHS? It is an exciting

development worldwide but never more

so then here and there are certainly

things AI can help as we to plough

through data we already have, and

the questions we didn't even know

needed answering. But let's be

clear, AI2 will never replace

person-to-person interaction. The

touch of a doctor, the looking deep

into someone's eyes and recognising

that the make-up of the person is

what matters, not just a bleeding

leg or a headache. It is much more

than that and it will be quite a

long time for a match creatures

that.

You think it ever will?

I will

be stunned if win -- within my

lifetime AI2 ever replaces Doctor.

That was Jen and although we are

seeing

That was Jen and although we are

seeing automation

That was Jen and although we are

seeing automation creep

That was Jen and although we are

seeing automation creep in to the

skilled workforce,

seeing automation creep in to the

skilled workforce, we often think of

it as working in the low skilled

sector where the jobs are

repetitive. But what about bases in

the world where they still have a

ready supply of relatively low

skilled at cheap human workers? You

would expect countries like China

for example to be able to hold back

the robot tied longer than most.

Will not so. We sent Danny Vincent

to a warehouse owned by the giant

Chinese online retailer Alibaba.

This is a 3000 square metre

warehouse. It is part of an

operation that sorts and delivers 85

million packages at a, shipped to

over 200 countries around the world.

Products are packed and sorted here.

Usually by dozens of workers. But

recently, they had some new

recruits. 148 automated guided

vehicles navigate the floors of this

warehouse. These agile bots can

communicate to each other to avoid

collisions and distribute the work

amongst themselves. A bit like their

human counterparts who still take on

the final stages of processing. Li

Yen is a 28-year-old worker from

south-western China. Her job now is

in part done by these machines. She

followed a family tradition of

migrating thousands of miles to find

better paid work. TRANSLATION:

It

saves me from work, Kwok into every

shelf to pick up the goods. Now I

just had to stand at the pickup

platform to wait for the robots to

send me the goods and I don't have

to constantly walk here and there.

They are part of a data system

collecting information not just

about their environments are also

the sales patterns, understanding

what sells more regularly,

rearranging where products are

placed, shaving off valuable minutes

on overall delivery time.

TRANSLATION:

In a traditional

warehouse, it is purely manual.

There are so many products, so the

job for the human workers is very

heavy. A could walk that they could

walk 50,000 steps per day. Here the

machines do all of that, making the

work easier and more efficient.

China has the largest workforce in

the world. But it is shrinking and

rising labour cost two is making it

harder for logistic companies to

recruit low skilled workers. China

is already leading the development

of dark factories, factories that

need no human workers and can

literally work with the lights off.

But will automation replace workers

like Li Yen? TRANSLATION:

I feel

these robots would become my

competitors because of sorting out

goods I can do other work, monitor

the system, it takes orders and

other work. I don't think they will

affect me.

Alibaba and its partners

say automation is an irreversible

trend in China but they see sectors

like e-commerce were born out of

innovation. Online shops replace

many high-street stores, but they

insist their workers are machines --

and machines will continue to work

together.

We are going to interrupt this

broadcast with some breaking news

coming into us at the BBC. It is a

world first, ABC click presenter

Spencer Kelly has been replaced by a

robot. It has been dubbed RoboSpen

and it is apparently capable of a

whole host of emotions as well as

understanding and writing stories

and crucially, he never forgets his

lines. RoboSpen joins the now from

the factory that created him.

Over

to you. Sounds like you said I was

artificially intelligent. As a robot

I am often asked to post photos and

TV reports about AI. I am not

intelligent. Everything I am saying

is written by a human. The point is,

robots and AI are not the same

thing. Observe my articulated hands

powered by four fingers and bear

cylinders of.

Engineering arts has

made a name for itself by making

robotic performance, actors and

communicators of. -- indicators.

Which, according to Will, is the

only reason the world might need

humanoid robot.

AI great for

entertainment and communication, if

you want something that interacts

with people, the best way to do that

is to make something person shaped.

If you think Star Wars, the robot

that talks a lot, has a personality,

doesn't do a lot of useful thing.

Will and his team design and build

robots here from scratch from the

aluminium tones to the robbery

spines and plastic shells. -- bones.

The next wave our way into the

uncanny Valley.

It has just come to

life with the eyes there. You have

seen silence of the lambs, haven't

you? That is very eerie, that is.

Will is fascinated with how the

human body works and a lot of this

research concentrates on making

natural looking body movements that

are also very quiet. It is something

that he believes might find a place

in the field of ethics, although he

says there is still a lot of work to

be done.

I don't have a single

precision part in my body. How can I

achieve this level of precision with

these organic, bones and bits of

mushy flash. One of the biggest

problems we have is that there is

nothing as good as human muscle. It

so for all of this motor development

that we have done, we don't come

anywhere near to what a human can

do.

Where you will see humanoid

robots, you will see them in a

commercial context, so you might get

into a shop and you might see a

robot in Derrida is trying to sell

you something. De worry about all

the clever AI, that's really going

to stay on your computer, on your

smart phone. -- don't worry. It

won't chase you up the stairs any

time soon.

The artificially intelligent

algorithms will is talking about

could very well change can assist

all replace some jobs. So what does

that mean for the field of

journalism?

Now this is the BBC

newsroom and every minute of every

day there are a lot of conflicts

processes in place here. All of

these journalistss are taking in

huge amounts of information around

the world trying to work out what is

true and what is not and then they

are trying to turn those raw facts

into something that is

understandable for our audience.

User stories. -- News.

The question

is, can some of the tasks that

people are doing B easier thanks to

AI is progressing software like this

over the years, tools that can turn

swathes of dense start into text

that is more digestible to us humans

are. But they can only produce very

specific types of reports, they

couldn't cope with new, and Shok

should information and write dutiful

prose. Well, this week the Reuters

news agency announced that it is

building its own new bit of kit that

assists human journalist we're by

looking for trends and FAQs in the

dark and turning them into handy

snippets of that the reporters can

use. It is all about taking some of

the legwork out of journalism.

Machines are good at certain things

and humans are good at certain

things and conversely they are both

bad and some things are. Machines

are good at going to mounds and

bounds of Dart, being able to

analyse it and it detect patterns

and they are not good at writing

stories and they are certainly bad

at talking to people. Humans are

good at exercising judgement, asking

certain questions and talking to

people and not so good at digging

through lots of darker. The idea is,

you take what machines and humans

are good at and put them together

and make a much better journalist

and story out of that.

The BBC's

editor of news labs is also looking

at ways at turning some of those

dull tasks to the machines are.

So

much of the work in journalism is

about logistics, for example we will

want a transcript -- a transcript of

these interviews. At a moment that

is done by human beings, we are

working on some software that allows

a machine to do that for you. It is

not 100% accurate but probably good

enough to work out where I am

talking about the interesting stuff.

We have a days worth of interviews,

so can we have facial recognition

software that will allow you to put

all do interviews in and find that

it has me. That kind of thing frees

up time for journalistss to be

journalist two.

This weekend will be

looking at whether AI or automation

will make our jobs easier or take

away altogether but it is important

to remember that AI and robots are

different. Your job might be safe

from one, but not necessarily the

other. I think what they are doing

here is fascinating. But the moral

of this story is that when you think

of computers taking people 's jobs,

they are not going to look like you.

It is already happening and it is

software which is artificially

intelligent and invisible. The only

journalists that are going to be

replaced by humanoid robots are the

ones that simply read words written

by other people.

Hello humans, it is

me. Newsreading Lara 9000 and

welcome to the week in technology.

It was the week these low-cost 3-D

printed homes were unveiled, thanks

to a collaboration between Texan

start-up Icon and non-profit new

story. The hope is to eventually

make profitable -- possible building

homes in under 24 hours for less

than $4000. In other news, it is

humans who are spreading fake news,

not bots, according to new research

on how stories grow on Twitter. MIT

researchers say it is partly because

when humans share knowledge of a in

their status goes up and false news

tends to be more novel than the

truth. Another air taxi has lifted

off, this time in New Zealand. The

kora can fly up to 100, this at 110

kilometres per hour and it doesn't

need a human pilot. Another one of

my friends showing off. And finally,

for some reason, humans love to try

to invent robots that can replace

their jobs, but this time they have

gone too far. Just look at these

things. It's a robot jockey,

apparently. You can reach speeds of

up to 30 mph and it jumped fences.

They be one day this will happen,

but I am pretty sure it won't look

like. Please listen the humans, stop

this madness, we have no interest in

taking your stupid jobs! And of

news, Lara 9000 deactivating.

That

is if the now. You can join us for

part two of our special look at the

future of work next week. In the

meantime, you can find a lot more

from these guys on Twitter and also

on Facebook too. Thanks for

watching. And as this would say...

Isn't it time you were leaving?

OK,

we are off.