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Why we will rely on robots

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    Well, Arthur C. Clarke,
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    a famous science fiction
    writer from the 1950s,
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    said that, "We overestimate
    technology in the short term,
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    and we underestimate it in the long term."
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    And I think that's some of the fear
    that we see
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    about jobs disappearing from artificial
    intelligence and robots.
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    That we're overestimating
    the technology in the short term.
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    But I am worried whether we're going to get
    the technology we need in the long term.
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    Because the demographics are really going
    to leave us with lots of jobs that need doing
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    and that we, our society, is going to have to be built
    on the shoulders of steel of robots in the future.
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    So I'm scared we won't have enough robots.
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    But fear of losing jobs to technology
    has been around for a long time.
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    Back in 1957, there was a Spencer
    Tracy, Katharine Hepburn movie.
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    So you know how it ended up,
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    Spencer Tracy brought a computer,
    a mainframe computer of 1957, in
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    to help the librarians.
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    The librarians in the company would do
    things like answer for the executives,
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    "What are the names of Santa's reindeer?"
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    And they would look that up.
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    And this mainframe computer was going
    to help them with that job.
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    Well of course a mainframe computer
    in 1957 wasn't much use for that job.
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    The librarians were afraid
    their jobs were going to disappear.
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    But that's not what happened in fact.
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    The number of jobs for librarians
    increased for a long time after 1957.
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    It wasn't until the Internet
    came into play,
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    the web came into play and search
    engines came into play
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    that the need for librarians went down.
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    And I think everyone from 1957
    totally underestimated
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    the level of technology we would all carry
    around in our hands and in our pockets today.
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    And we can just ask: "What are the names
    of Santa's reindeer?" and be told instantly --
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    or anything else we want to ask.
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    By the way, the wages
    for librarians went up faster
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    than the wages for other jobs in the U.S.
    over that same time period,
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    because librarians became
    partners of computers.
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    Computers became tools, and they got
    more tools that they could use
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    and become more effective
    during that time.
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    Same thing happened in offices.
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    Back in the old days,
    people used spreadsheets.
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    Spreadsheets were spread sheets of paper,
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    and they calculated by hand.
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    But here was an interesting
    thing that came along.
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    With the revolution around 1980 of P.C.'s,
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    the spreadsheet programs were
    tuned for office workers,
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    not to replace office workers,
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    but it respected office workers
    as being capable of being programmers.
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    So office workers became
    programmers of spreadsheets.
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    It increased their capabilities.
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    They no longer had to do
    the mundane computations,
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    but they could do something much more.
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    Now today, we're starting
    to see robots in our lives.
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    On the left there
    is the PackBot from iRobot.
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    When soldiers came across roadside
    bombs in Iraq and Afghanistan,
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    instead of putting on a bomb suit
    and going out and poking with a stick,
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    as they used to do up until about 2002,
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    they now send the robot out.
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    So the robot takes
    over the dangerous jobs.
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    On the right are some TUGs from a company
    called Aethon in Pittsburgh.
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    These are in hundreds
    of hospitals across the U.S.
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    And they take the dirty
    sheets down to the laundry.
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    They take the dirty dishes
    back to the kitchen.
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    They bring the medicines
    up from the pharmacy.
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    And it frees up the nurses
    and the nurse's aides
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    from doing that mundane work of just
    mechanically pushing stuff around
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    to spend more time with patients.
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    In fact, robots have become sort
    of ubiquitous in our lives in many ways.
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    But I think when it comes to factory
    robots, people are sort of afraid,
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    because factory robots
    are dangerous to be around.
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    In order to program them, you have to understand
    six-dimensional vectors and quaternions.
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    And ordinary people can't
    interact with them.
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    And I think it's the sort
    of technology that's gone wrong.
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    It's displaced the worker
    from the technology.
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    And I think we really have
    to look at technologies
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    that ordinary workers can interact with.
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    And so I want to tell you today about Baxter,
    which we've been talking about.
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    And Baxter, I see, as a way
    -- a first wave of robot
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    that ordinary people can interact
    with in an industrial setting.
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    So Baxter is up here.
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    This is Chris Harbert
    from Rethink Robotics.
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    We've got a conveyor there.
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    And if the lighting isn't too extreme --
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    Ah, ah! There it is. It's picked
    up the object off the conveyor.
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    It's going to come bring it
    over here and put it down.
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    And then it'll go back,
    reach for another object.
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    The interesting thing is Baxter
    has some basic common sense.
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    By the way, what's going on with the eyes?
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    The eyes are on the screen there.
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    The eyes look ahead where
    the robot's going to move.
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    So a person that's interacting
    with the robot
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    understands where it's going to reach
    and isn't surprised by its motions.
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    Here Chris took the object
    out of its hand,
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    and Baxter didn't go
    and try to put it down;
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    it went back and realized
    it had to get another one.
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    It's got a little bit of basic common
    sense, goes and picks the objects.
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    And Baxter's safe to interact with.
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    You wouldn't want to do this
    with a current industrial robot.
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    But with Baxter it doesn't hurt.
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    It feels the force, understands
    that Chris is there
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    and doesn't push through him and hurt him.
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    But I think the most interesting thing
    about Baxter is the user interface.
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    And so Chris is going to come
    and grab the other arm now.
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    And when he grabs an arm, it goes
    into zero-force gravity-compensated mode
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    and graphics come up on the screen.
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    You can see some icons on the left of the screen
    there for what was about its right arm.
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    He's going to put something in its hand,
    he's going to bring it over here,
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    press a button and let go
    of that thing in the hand.
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    And the robot figures out, ah, he must
    mean I want to put stuff down.
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    It puts a little icon there.
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    He comes over here, and he gets
    the fingers to grasp together,
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    and the robot infers, ah, you
    want an object for me to pick up.
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    That puts the green icon there.
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    He's going to map out an area of where
    the robot should pick up the object from.
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    It just moves it around, and the robot
    figures out that was an area search.
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    He didn't have to select that from a menu.
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    And now he's going to go off and train
    the visual appearance of that object
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    while we continue talking.
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    So as we continue here,
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    I want to tell you about what this
    is like in factories.
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    These robots we're shipping every day.
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    They go to factories around the country.
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    This is Mildred.
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    Mildred's a factory worker in Connecticut.
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    She's worked on the line
    for over 20 years.
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    One hour after she saw her
    first industrial robot,
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    she had programmed it to do
    some tasks in the factory.
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    She decided she really liked robots.
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    And it was doing the simple repetitive
    tasks that she had had to do beforehand.
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    Now she's got the robot doing it.
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    When we first went out to talk
    to people in factories
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    about how we could get robots
    to interact with them better,
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    one of the questions we asked them was,
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    "Do you want your children
    to work in a factory?"
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    The universal answer was "No, I want
    a better job than that for my children."
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    And as a result of that,
    Mildred is very typical
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    of today's factory workers in the U.S.
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    They're older, and they're
    getting older and older.
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    There aren't many young people
    coming into factory work.
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    And as their tasks become
    more onerous on them,
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    we need to give them tools
    that they can collaborate with,
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    so that they can be part of the solution,
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    so that they can continue to work
    and we can continue to produce in the U.S.
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    And so our vision is that Mildred
    who's the line worker
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    becomes Mildred the robot trainer.
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    She lifts her game,
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    like the office workers of the 1980s
    lifted their game of what they could do.
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    We're not giving them tools that they have to go
    and study for years and years in order to use.
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    They're tools that they can just learn
    how to operate in a few minutes.
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    There's two great forces
    that are both volitional but inevitable.
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    That's climate change and demographics.
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    Demographics is really
    going to change our world.
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    This is the percentage
    of adults who are working age.
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    And it's gone down slightly
    over the last 40 years.
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    But over the next 40 years, it's going
    to change dramatically, even in China.
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    The percentage of adults who are working
    age drops dramatically.
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    And turned up the other way, the people
    who are retirement age goes up very, very fast,
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    as the baby boomers get to retirement age.
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    That means there will be more people
    with fewer social security dollars
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    competing for services.
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    But more than that, as we get
    older we get more frail
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    and we can't do all the tasks
    we used to do.
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    If we look at the statistics
    on the ages of caregivers,
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    before our eyes those caregivers
    are getting older and older.
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    That's happening statistically right now.
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    And as the number of people who are older,
    above retirement age and getting older, as they increase,
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    there will be less people
    to take care of them.
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    And I think we're really going
    to have to have robots to help us.
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    And I don't mean robots
    in terms of companions.
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    I mean robots doing the things
    that we normally do for ourselves
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    but get harder as we get older.
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    Getting the groceries in from the car,
    up the stairs, into the kitchen.
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    Or even, as we get very much older,
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    driving our cars to go visit people.
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    And I think robotics gives people a chance
    to have dignity as they get older
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    by having control of the robotic solution.
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    So they don't have to rely on people
    that are getting scarcer to help them.
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    And so I really think that we're
    going to be spending more time
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    with robots like Baxter
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    and working with robots like Baxter
    in our daily lives. And that we will --
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    Here, Baxter, it's good.
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    And that we will all come to rely
    on robots over the next 40 years
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    as part of our everyday lives.
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    Thanks very much.
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    (Applause)
Title:
Why we will rely on robots
Speaker:
Rodney Brooks
Description:

Scaremongers play on the idea that robots will simply replace people on the job. In fact, they can become our essential collaborators, freeing us up to spend time on less mundane and mechanical challenges. Rodney Brooks points out how valuable this could be as the number of working-age adults drops and the number of retirees swells. He introduces us to Baxter, the robot with eyes that move and arms that react to touch, which could work alongside an aging population -- and learn to help them at home, too.

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
09:56
Krystian Aparta edited English subtitles for Why we will rely on robots
Valérie Boor commented on English subtitles for Why we will rely on robots
Morton Bast edited English subtitles for Why we will rely on robots
Morton Bast edited English subtitles for Why we will rely on robots
Thu-Huong Ha approved English subtitles for Why we will rely on robots
Thu-Huong Ha edited English subtitles for Why we will rely on robots
Thu-Huong Ha edited English subtitles for Why we will rely on robots
Morton Bast accepted English subtitles for Why we will rely on robots
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  • Dear fellow-translators,

    Would someone please be able to comment on what Mr Brooks could have meant with "volitional" when he (seems to have) said:

    ________________________________________________________________________________________________

    @7:31 - 7:36
    "There's two great forces that are both volitional but inevitable."
    ________________________________________________________________________________________________

    I'm very curious, and can come up with four explanations, but would like to see what you all think, in order to choose a fitting translation.
    ________________________________________________________________________________________________

    The first explanation being that we should see it as a metaphor, as if climate change and demographics seem to have a will of their own - since we cannot control them single-handedly.
    ________________________________________________________________________________________________

    I have a hard time believing the second possibility, where he actually thinks there is an element of will-power to these forces, though that does seem to be what he says.
    ________________________________________________________________________________________________
    The third possibility, is there another meaning to volitional, that I'm unaware of?
    ________________________________________________________________________________________________
    Finally, it could be we heard wrong, and he could be saying something else entirely.

    Anyone? I'd be very grateful!

    Kind regards,
    Valérie

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