tv Click BBC News March 18, 2018 4:30am-5:00am GMT
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by giving the same number of british officials a week to leave moscow. it's also closing a british consulate and the british council in russia as the row over the chemical attack on a former russian double agent and his daughter continues. this week's fighting in syria has driven up to 250,000 people from their homes. 150,000 are reported to have fled a turkish military offensive in afrin in the north while tens of thousands have escaped the rebel—held enclave of eastern ghouta in the south. us officials are investigating claims that a political consultancy misused facebook users‘ data in order to support president trump's election. an ex—employee of cambridge analytica claims 50 million profiles were accessed. the companies deny wrongdoing. facebook has suspended cambridge analytica. now on bbc news, click. this week, we are looking at the future of work.
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but whichjobs will go to the robots? stock pickers? nurses? mine? reporter: 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 it develop. we have seen it evolve. oh, yes! this is the watson that wonjeopardy. we have travelled the world to see
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ai that tries to treat cancer... it studies of millions, or tens of millions, of examples from the assemblage of scientific literature. ..predict crime... ..understand the economy... show me companies with revenue between $25 million and $60 million. ..and save the world. so it may not yet have conquered diy... it is doing it. it's got the screw in... ..but we keep hearing how ai will change everything. technology will make man the 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 ourjobs. with interaction, with use, with feedback, it actually gets gradually smarter.
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from bots that can talk like us.... you want me to help you reset your sap password? ..walk like us, and even, perhaps, think like us. we have been warned that the fourth industrial revolution is coming. the biggest difference between this and the industrial revolution in the 1800s is the speed. millions of workers are on the move. so, what is going on? whatjobs are really at risk? what is the future of work? and we start with healthcare workers. for almost 70 years, the uk's national health service has been a free service at the point of care. but that model is under strain as the population ages and chronic health conditions increase while resources shrink.
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a recent study by the royal college of physicians showed that almost two thirds of doctors think that patient safety has deteriorated, with one doctor saying "we are not robots. we are human staff with limits." but should the nhs be turning to robots to ease the strain on its human staff? jane has been looking at how data—driven technology could transform care in the nhs. could 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, click filmed google's deepmind at moorfields eye hospital. they were developing an algorithm to identify abnormalities in eye scans. now it has submitted its findings to a medicaljournal for review. it could mean its systems are more
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effective than humans at diagnosing eye disease. deepmind taught its machine—learning software using a million eye scans. i will see three other projects integrating ai and data collection for monitoring, automation and decreasing waiting times. dementia is now the leading cause of death in the uk. at the manor hospital in coventry, software is being tested to remotely monitor patients on the dementia ward. this is one of the rooms on the ward. it looks like any other hospital room, except in this one there are two infrared illuminators and an optical sensor monitoring my movements including when i'm asleep. 0xehealth uses a standard digital camera and the tongue—twisting science of photoplethysmography. every time your heart beats, your skin briefly flashes red. we cannot see this but the sensor in the camera can detect these so—called microblushes.
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it even picks up my vital signs when i am hiding under a table in the room as those microblushes 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 0xehealth, they've explained to them and they see how it works, they love it. they love the fact it gives you an extra... ..an extra support. the project is in the pilot stage and 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 this capability as a species, to constantly get heart rate, breathing rate, movement and routine data. there is no reason, as we combine
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and we fuse the data using ai, we cannot detect the onset of dementia or prevent it 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. 4,500 people receive a transplant each year, but 6,500 are on the list. every day, 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 transplant waiting list, and that our staff, who are often working until 3:00 in the morning
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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. one of the challenges we have in the public sector is a perception that maybe the public cloud 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. this can drop to two hours if you register with gp at hand. you can sign up if you live or work within certain zones of london. you need to give up your regular practice doctor and register with gp
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at hand's 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 the app who recommended i speak remotely to a real—life human doctor. the doctor recommends further care and can even send a prescription to a pharmacy. the artificial intelligence in the app draws on billions of data points and can cross reference 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 get reassured that they have everything they need, they stop there. but the app has faced criticism from the royal college of gps who say that younger users are being cherry—picked for the service.
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nhs england lodged a formal objection to the planned roll—out beyond london. whenever anybody comes up with a great, exciting idea, they are desperate to see it rolled out everywhere. i think we need to give people safe, fair and equitable care. if we roll things out too quickly without ensuring that safety and fairness, we run the risk of causing unintended harm. so it is wise and sensible that independent evaluations are 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 slowing down what people want isjust 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 themselves. 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
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an overstressed health service. could artificial intelligence help to save the nhs? it is an exciting development worldwide but never more so than in healthcare, and there are certainly things ai can help as we do plough through data we already have, and provide answers to the questions we didn't even know needed answering. but let's be clear, ai will never replace person—to—person interaction. the touch of a doctor, the looking deep into someone's eyes and recognising the physical, social and psychological make—up of the person is what matters, notjust a bleeding leg or a headache. it is much more than that and it will be quite a long time before ai comes close. you think it ever will? i will be stunned if within my lifetime ai ever replaces a doctor. that wasjen and although we're seeing automation creep into the skilled workforce, we most often think of it as working
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in the low—skilled sector, where the jobs are very, very repetitive. but what about places in the world where they still have a ready supply of relatively low—skilled, but cheap human workers? you would expect countries like china, for example, to be able to hold back the robot tide longer than most. well, not so. we sent danny vincent to a warehouse owned by the giant chinese online retailer alibaba. this is a 3,000 square metre warehouse. it is part of an operation that sorts and delivers 55 million packages a day that are 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.
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these agile bots can communicate with 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. herjob 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 walking to every shelf to pick up the goods. now ijust had to stand at the pick—up platform to wait for the robots to send me the goods. i don't have to constantly walk here and there. they are part of a data system collecting information notjust about their environments, but also the sales patterns. understanding what sells more regularly, rearranging where products are placed,
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shaving off valuable minutes from 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. they could walk 50,000 steps a day. it is like finishing a marathon. 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 costs 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 yan? translation: i feel these robots won't become my competitors, apart from sorting out goods i can do other work, i can monitor the system, take orders and other work. i don't think they will affect me.
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alibaba and its partners say automation is an irreversible trend in china, but they say sectors like e—commerce were born out of innovation. 0nline shops replace many high—street stores, but they insist their workers and machines will need to continue to work together. we are going to interrupt this broadcast with some breaking news coming into us here at the bbc. it is a world first, bbc click presenter spencer kelly has been replaced by a robot. it has been dubbed robospen and the artifical intelligence machine is apparently capable of a whole host of emotions as well as understanding and writing stories and crucially, he neverforgets his lines. robospenjoins the now from the factory that created him. over to you. sounds like you said i was artificially intelligent.
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as a robot i am often asked to pose for photos and tv reports about al. while i am a humaoid robot, i am not intelligent. everything i am saying is written by a human. the point is, robots and ai are not the same thing. 0bserve my articulated hands powered with four independent fingers powered by eight air cylinders. engineering arts has made a name for itself by making robotic performance, actors and communicators. which, according to will, is pretty much the only reason the world might need humanoid robots. humanoid robots are 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. so if you think star wars, c3p0 —
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the robot that talks a lot, has a personality, doesn't do a lot of useful things. will and his team design and build robots here from scratch from the aluminium bones to the rubbery spines and plastic shells. while they are more c3p0, the next wave are way into the uncanny valley. oh my goodness, 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. if you know what i mean. 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
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of prosthetics, 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. 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 go into a shop and you might see a robot in there that is trying to sell you something. don't worry about all the clever ai, that's really going to stay on your computer, on your smartphone, on a webpage. it's not going chase you up the stairs any time soon. the artificially intelligent algorithms will is talking about could very well change, assist or replace some jobs. so what does that mean
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for the field of journalism? now this is the bbc newsroom and every minute of every day there are a lot of complex processes in place here. all of these journalists 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. news stories. the question is, can some of the tasks the people are doing be made easier or even disappear completely, thanks to ai. weve have seen software like this over the years, tools that can turn swathes of dense data into text that is more digestible to us humans. but they can only produce very specific types of reports, they couldn't cope with new, unstructured information and write beautiful prose. well, this week the reuters news agency announced
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that it is building its own new bit of kit that assists human journalists by looking for trends and facts using data and turning them into handy snippets of that the reporters can use. it is all about taking some of the legwork out ofjournalism. machines are good at certain things and humans are good at certain things and conversely they are both bad at some things. machines are good at going to mounds and bounds of data, 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, understanding what questions to ask and talking to people and not so good at digging through lots of data. the idea is, you take what machines and humans are good at and put them together and make a much betterjournalist and much better story out of that. the bbc‘s editor of news labs is also looking at ways to turn some of those dull tasks over to the machines. so much of the work in journalism isn't about journalism,
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it is about logistics, for example we will want a transcript of these interviews. words you've spoken, written down. exactly. 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 roughly where i am talking about the interesting stuff. we have a days worth of interviews, where is the interview with me? so can we have facial recognition software that will allow you to put all do interviews in and find that it has me in it. that kind of thing frees up time for journalists to be journalists. this weekend and next we will be looking at whether al or automation will make ourjobs easier or take away altogether, but it is important to remember that ai and robots are different. yourjob might be safe from one, but not necessarily the other. i think what they are doing here is fascinating. nasty!
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but the moral of this story is that when you think of computers taking peoples jobs, they are not going to look like you. it is already happening and it is software which is artificially intelligent and invisible. the onlyjournalists that are ever going to be replaced by humanoid robots are the ones that simply read words written by other people. hello humans, it's me. newsreading automoton lara 9000 and welcome to the week in tech. 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 newstory. the hope is to eventually make possible building 600—800 square foot homes in under 2a hours for less than m000. in other news, it is humans who are spreading fake news —
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not bots — according to new research on how stories grow on twitter anyway. mit researchers say it is partly because when humans share novel information 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 quora can fly up to 100 kilometres, 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 theirjobs, but this time they've gone too far. just look at this thing. it's a robotjockey, apparently. you can reach speeds of up to 30 mph and jump fences. maybe one day this will happen, but i am pretty sure it won't look like. please listen humans, stop this madness, we have no interest in taking your stupid jobs! end of news. lara 9000 deactivating. and that is it for now.
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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 @bbcclick and also on facebook too. thanks for watching. and as this would say... isn't it time you were leaving? yeah, we are off. hello there. winter has returned with a vengeance this weekend. strong, cold easterly winds have already brought snow in places, our weather watchers have captured the scenes,
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this one from west yorkshire, this weather watcher picture from essex. and there is some more snow to come. let's look back at how things developed during saturday evening. from the radar picture, you can see all these showers piling in from the east, but then an area of more significant, persistent snow that developed across the south—east. that continues to drift westwards and so we have three different met office amber warnings in force, one towards the south—east and the london area, one across parts of eastern england and the north midlands and one for the south—west of england and the south—east of wales. these areas most prone to seeing disruption from significant snowfall. this is how we start off the day, with this area of more persistent snow continuing to drift its way across england and wales, some snow showers elsewhere, widely down below freezing,
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so not only frost, but ice to take us into sunday morning. but it's all about the snow across these western and south—western areas during the first part of sunday, let's take a closer look. 9am, you can see the snow falling across devon, dorset, somerset, the bristol area, into east wales and the west midlands. that snow really piling up and blowing around this strong easterly wind, could be some drifting snow in places. all the while, a feed of snow showers across the eastern side of northern england, particularly, one or two clipping into the south—east of northern ireland and some showers across the eastern side of scotland as well. further west, the western side of scotland not seeing as many showers, more sunshine, that is the theme as we go through the day. many of the showers in eastern areas will slowly but surely fade away, could be some brightness appearing towards the south—east later and the snow will pull away from wales but will keep falling across the south—west, 10—20 centimetres over high ground. windy for all and a bitterly cold feel. but we will lose this area of snow during sunday night. high pressure starts to build down from the north and we have a subtle shift in the wind direction as well. the easterly winds from
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the weekend will become more like northerly winds. northerly winds are never warm by any means, but they will be slightly less cold. so monday sees temperatures rising to between 3 and 7 degrees with some good spells of sunshine. not a bad day. temperatures will continue to climb as we head deeper into the coming week, but after a dry start to the week, things will then turn much more unsettled. this is bbc news. our top stories, moscow makes its move — 23 british diplomats are expelled in the stand—off with the uk over the chemical attack on yulia and sergei skripal. syrians flee fighting in huge numbers. almost 250,000 are reported to have been forced from their homes in the last week. us officials investigate claims that a political consultancy mishandled the data of millions of facebook users to support donald trump's run for the white house. severe weather in britain
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