the oscar-nominated movie hidden figures follows the incredible true stories of
follows the incredible true stories of
follows the incredible true stories of three women and their contributions to
three women and their contributions to
three women and their contributions to Project Mercury the first attempts at
Project Mercury the first attempts at
Project Mercury the first attempts at human spaceflight by NASA they worked as
human spaceflight by NASA they worked as
human spaceflight by NASA they worked as human computers a job that is now
human computers a job that is now
human computers a job that is now obsolete
obsolete
obsolete they worked to do the complex math to
they worked to do the complex math to
they worked to do the complex math to help create flight plans for spacecraft
help create flight plans for spacecraft
help create flight plans for spacecraft including the John Glenn mercury 7
including the John Glenn mercury 7
including the John Glenn mercury 7 mission but partway through their work
mission but partway through their work
mission but partway through their work they’re faced with the installation of
they’re faced with the installation of
they’re faced with the installation of the IBM 7090 electronic computer this
the IBM 7090 electronic computer this
the IBM 7090 electronic computer this computer threatens their jobs as well as
computer threatens their jobs as well as
computer threatens their jobs as well as their livelihood and in response Dorothy
their livelihood and in response Dorothy
their livelihood and in response Dorothy Vaughn teachers herself the programming
Vaughn teachers herself the programming
Vaughn teachers herself the programming language Fortran and learns how to
language Fortran and learns how to
language Fortran and learns how to operate the computer why am I telling
operate the computer why am I telling
operate the computer why am I telling you this
you this
you this well as a junior in high school I think
well as a junior in high school I think
well as a junior in high school I think it’s fair to say that the question of
it’s fair to say that the question of
it’s fair to say that the question of the year is College where I’m going to
the year is College where I’m going to
the year is College where I’m going to school what what I’m going to study and
school what what I’m going to study and
school what what I’m going to study and perhaps more importantly what career all
perhaps more importantly what career all
perhaps more importantly what career all eventually pursue and as most of you
eventually pursue and as most of you
eventually pursue and as most of you being high schoolers I also think it’s
being high schoolers I also think it’s
being high schoolers I also think it’s fair to assume that you expect to be
fair to assume that you expect to be
fair to assume that you expect to be employed one day but what if I were to
employed one day but what if I were to
employed one day but what if I were to tell you that the security of your jobs
tell you that the security of your jobs
tell you that the security of your jobs isn’t as certain as it might seem well
isn’t as certain as it might seem well
isn’t as certain as it might seem well older economists love to talk in
older economists love to talk in
older economists love to talk in abstractions about how the future
abstractions about how the future
abstractions about how the future workforce the workforce our generation
workforce the workforce our generation
workforce the workforce our generation will have to enter is going to be a
will have to enter is going to be a
will have to enter is going to be a place without employment where all the
place without employment where all the
place without employment where all the jobs are going to be displaced by
jobs are going to be displaced by
jobs are going to be displaced by machines but at the end of the day this
machines but at the end of the day this
machines but at the end of the day this complicated and changing workforce won’t
complicated and changing workforce won’t
complicated and changing workforce won’t be their problem but ultimately ours so
be their problem but ultimately ours so
be their problem but ultimately ours so today I hope to provide you with a more
today I hope to provide you with a more
today I hope to provide you with a more realistic reality of what I think this
realistic reality of what I think this
realistic reality of what I think this future will be so first off I want to
future will be so first off I want to
future will be so first off I want to talk about what exactly machine learning
talk about what exactly machine learning
talk about what exactly machine learning is as this is the technology that’s
is as this is the technology that’s
is as this is the technology that’s driving the general intelligence that
driving the general intelligence that
driving the general intelligence that threatens our jobs in a broad sense
threatens our jobs in a broad sense
threatens our jobs in a broad sense machine learning is the idea of
machine learning is the idea of
machine learning is the idea of programming computers to use the
programming computers to use the
programming computers to use the information they’re given to make
information they’re given to make
information they’re given to make decisions all of this without being
decisions all of this without being
decisions all of this without being explicitly told what to do the
explicitly told what to do the
explicitly told what to do the technology that’s coming from this is
technology that’s coming from this is
technology that’s coming from this is incredibly sophisticated it includes
incredibly sophisticated it includes
incredibly sophisticated it includes everything from self-driving cars to the
everything from self-driving cars to the
everything from self-driving cars to the speech recognition devices on our smart
speech recognition devices on our smart
speech recognition devices on our smart phones and Google search recommendations
phones and Google search recommendations
phones and Google search recommendations so the first area that is usually
so the first area that is usually
so the first area that is usually assessed when talking about economic
assessed when talking about economic
assessed when talking about economic displacement is factory work and other
displacement is factory work and other
displacement is factory work and other forms of what’s regarded to be
forms of what’s regarded to be
forms of what’s regarded to be monotonous and unskilled labor and it’s
monotonous and unskilled labor and it’s
monotonous and unskilled labor and it’s no surprise to anybody here that
no surprise to anybody here that
no surprise to anybody here that machines can offer a more cost-effective
machines can offer a more cost-effective
machines can offer a more cost-effective and efficient alternative to work of a
and efficient alternative to work of a
and efficient alternative to work of a person the average factory worker can
person the average factory worker can
person the average factory worker can expect to bring in about $25,000 per
expect to bring in about $25,000 per
expect to bring in about $25,000 per year the price to do have a machine do
year the price to do have a machine do
year the price to do have a machine do the same work a one-time cost of 32
the same work a one-time cost of 32
the same work a one-time cost of 32 dollars and this machine doesn’t take
dollars and this machine doesn’t take
dollars and this machine doesn’t take sick days observe holidays we need
sick days observe holidays we need
sick days observe holidays we need health insurance but factory work isn’t
health insurance but factory work isn’t
health insurance but factory work isn’t the only type of jobs that are being
the only type of jobs that are being
the only type of jobs that are being threatened by technology in fact today’s
threatened by technology in fact today’s
threatened by technology in fact today’s economy has no place for jobs that only
economy has no place for jobs that only
economy has no place for jobs that only a few decades ago would have seemed
a few decades ago would have seemed
a few decades ago would have seemed impossible to displace with machines
impossible to displace with machines
impossible to displace with machines these include switchboard operators film
these include switchboard operators film
these include switchboard operators film projectionist and telemarketers and this
projectionist and telemarketers and this
projectionist and telemarketers and this doesn’t even include the jobs that are
doesn’t even include the jobs that are
doesn’t even include the jobs that are in the process of being displaced such
in the process of being displaced such
in the process of being displaced such as truck drivers accountants toll booth
as truck drivers accountants toll booth
as truck drivers accountants toll booth workers and tellers so unless you’re
workers and tellers so unless you’re
workers and tellers so unless you’re gonna be an accountant or factory worker
gonna be an accountant or factory worker
gonna be an accountant or factory worker there’s no threat of displacement right
there’s no threat of displacement right
there’s no threat of displacement right unfortunately no how many of you guys
unfortunately no how many of you guys
unfortunately no how many of you guys know someone who wants to be a judge or
know someone who wants to be a judge or
know someone who wants to be a judge or a lawyer or any have any job in the
a lawyer or any have any job in the
a lawyer or any have any job in the judicial system
judicial system
judicial system well in 2010 Nikolas all I trust of
well in 2010 Nikolas all I trust of
well in 2010 Nikolas all I trust of University College London developed a
University College London developed a
University College London developed a machine that was able to accurately
machine that was able to accurately
machine that was able to accurately predict the outcome of nearly 80% of the
predict the outcome of nearly 80% of the
predict the outcome of nearly 80% of the 600 human rights cases presented to it
600 human rights cases presented to it
600 human rights cases presented to it and while he believes that artificial
and while he believes that artificial
and while he believes that artificial intelligence will never be able to
intelligence will never be able to
intelligence will never be able to replace human judgment it opens the door
replace human judgment it opens the door
replace human judgment it opens the door to an entirely different conversation
to an entirely different conversation
to an entirely different conversation regarding the necessity of our justice
regarding the necessity of our justice
regarding the necessity of our justice system why would we employ judges when a
system why would we employ judges when a
system why would we employ judges when a machine will already be able to predict
machine will already be able to predict
machine will already be able to predict the verdict and perhaps more importantly
the verdict and perhaps more importantly
the verdict and perhaps more importantly can our complex rational and emotional
can our complex rational and emotional
can our complex rational and emotional thinking be replicated by machines it
thinking be replicated by machines it
thinking be replicated by machines it seems as if the answer to this question
seems as if the answer to this question
seems as if the answer to this question is yes and even jobs like musicians are
is yes and even jobs like musicians are
is yes and even jobs like musicians are being threatened the American Federation
being threatened the American Federation
being threatened the American Federation of musicians is working to impose
of musicians is working to impose
of musicians is working to impose stricter orchestra minimums on musicals
stricter orchestra minimums on musicals
stricter orchestra minimums on musicals this would require productions to hire a
this would require productions to hire a
this would require productions to hire a certain amount musicians per show this
certain amount musicians per show this
certain amount musicians per show this comes after an alarming increase in
comes after an alarming increase in
comes after an alarming increase in computer generated music in the
computer generated music in the
computer generated music in the background of our favorite musicals
background of our favorite musicals
background of our favorite musicals across the nation so it seems is that
across the nation so it seems is that
across the nation so it seems is that the future I just pictured seems really
the future I just pictured seems really
the future I just pictured seems really bleak but unfortunately here to tell you
bleak but unfortunately here to tell you
bleak but unfortunately here to tell you that it’s not total displacement from
that it’s not total displacement from
that it’s not total displacement from machines isn’t as realistic as it might
machines isn’t as realistic as it might
machines isn’t as realistic as it might seem nobody would be employed and if
seem nobody would be employed and if
seem nobody would be employed and if that would be the case it would limit
that would be the case it would limit
that would be the case it would limit the necessity of transactions between
the necessity of transactions between
the necessity of transactions between businesses and individuals and it
businesses and individuals and it
businesses and individuals and it wouldn’t be helpful for anybody for this
wouldn’t be helpful for anybody for this
wouldn’t be helpful for anybody for this idea of consumer capitalism to collapse
idea of consumer capitalism to collapse
idea of consumer capitalism to collapse furthermore most economists can agree on
furthermore most economists can agree on
furthermore most economists can agree on one thing that for the time being these
one thing that for the time being these
one thing that for the time being these machines are most cost efficient and
machines are most cost efficient and
machines are most cost efficient and effective when used alongside their
effective when used alongside their
effective when used alongside their human counterparts even in factories
human counterparts even in factories
human counterparts even in factories where machines are doing most of the
where machines are doing most of the
where machines are doing most of the work it’s still a human who overlooks
work it’s still a human who overlooks
work it’s still a human who overlooks them but back to my original question
them but back to my original question
them but back to my original question what does this mean for our generation
what does this mean for our generation
what does this mean for our generation what does this mean for the jobs we’ll
what does this mean for the jobs we’ll
what does this mean for the jobs we’ll take
take
take well it’s not looking bleak as it might
well it’s not looking bleak as it might
well it’s not looking bleak as it might seem first off there might just be an
seem first off there might just be an
seem first off there might just be an advantage to being
advantage to being
advantage to being first generation to go up so completely
first generation to go up so completely
first generation to go up so completely surrounded by such a rich culture of
surrounded by such a rich culture of
surrounded by such a rich culture of technology will have the skills and most
technology will have the skills and most
technology will have the skills and most importantly the knowledge and the
importantly the knowledge and the
importantly the knowledge and the experience to be able to work alongside
experience to be able to work alongside
experience to be able to work alongside these machines in our jobs think about
these machines in our jobs think about
these machines in our jobs think about all the times you’ve helped an adult
all the times you’ve helped an adult
all the times you’ve helped an adult with a computer or a smartphone whether
with a computer or a smartphone whether
with a computer or a smartphone whether we realize it or not these are the
we realize it or not these are the
we realize it or not these are the skills we will need and we will have to
skills we will need and we will have to
skills we will need and we will have to use to be able to integrate this
use to be able to integrate this
use to be able to integrate this technology into our lives without
technology into our lives without
technology into our lives without displacing our jobs our generation of
displacing our jobs our generation of
displacing our jobs our generation of endless potential and creativity and I
endless potential and creativity and I
endless potential and creativity and I feel as if this is often overlooked when
feel as if this is often overlooked when
feel as if this is often overlooked when talking about economic displacement when
talking about economic displacement when
talking about economic displacement when surveyed nearly three and four people of
surveyed nearly three and four people of
surveyed nearly three and four people of my generation say that they want to
my generation say that they want to
my generation say that they want to start their own business and more than
start their own business and more than
start their own business and more than one in three say that they want to
one in three say that they want to
one in three say that they want to invest in ideas that will change the
invest in ideas that will change the
invest in ideas that will change the world
world
world we’re activists and creators we’re
we’re activists and creators we’re
we’re activists and creators we’re educators for mathematicians but more
educators for mathematicians but more
educators for mathematicians but more importantly we’re thinkers we’ll have
importantly we’re thinkers we’ll have
importantly we’re thinkers we’ll have the skills we’ll have the knowledge and
the skills we’ll have the knowledge and
the skills we’ll have the knowledge and we will be able to keep up thank you
we will be able to keep up thank you
we will be able to keep up thank you [Applause]
”
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