the future is female that is a slogan we hear a lot nowadays you supermodels wear
hear a lot nowadays you supermodels wear
hear a lot nowadays you supermodels wear it on t-shirts Hillary Clinton used it
it on t-shirts Hillary Clinton used it
it on t-shirts Hillary Clinton used it in her campaign the one she lost to
in her campaign the one she lost to
in her campaign the one she lost to Donald Trump Trump Trump Trump haha you
Donald Trump Trump Trump Trump haha you
Donald Trump Trump Trump Trump haha you can buy mugs saying the future is female
can buy mugs saying the future is female
can buy mugs saying the future is female phone cases keyrings
phone cases keyrings
phone cases keyrings the internet is basically full of this
the internet is basically full of this
the internet is basically full of this kind of stuff but what does it mean the
kind of stuff but what does it mean the
kind of stuff but what does it mean the future is female is it a promise and
future is female is it a promise and
future is female is it a promise and aspiration or maybe a threat what I’m
aspiration or maybe a threat what I’m
aspiration or maybe a threat what I’m going to talk to you about today is what
going to talk to you about today is what
going to talk to you about today is what if it’s not a slogan the future is
if it’s not a slogan the future is
if it’s not a slogan the future is female what if it’s the truth a simple
female what if it’s the truth a simple
female what if it’s the truth a simple statement of fact and what if this truth
statement of fact and what if this truth
statement of fact and what if this truth is brought to you not by feminists or
is brought to you not by feminists or
is brought to you not by feminists or activists or even by Beyonce but by
activists or even by Beyonce but by
activists or even by Beyonce but by robots in the late 1990s the German car
robots in the late 1990s the German car
robots in the late 1990s the German car manufacturer BMW was flooded with calls
manufacturer BMW was flooded with calls
manufacturer BMW was flooded with calls it was flooded with angry calls angry
it was flooded with angry calls angry
it was flooded with angry calls angry calls from angry German men and it was
calls from angry German men and it was
calls from angry German men and it was all regarding the new voice navigation
all regarding the new voice navigation
all regarding the new voice navigation system in the BMW 5-series
system in the BMW 5-series
system in the BMW 5-series because BMW had given the voice
because BMW had given the voice
because BMW had given the voice navigation system a female voice at the
navigation system a female voice at the
navigation system a female voice at the roundabout take the third exit turn left
roundabout take the third exit turn left
roundabout take the third exit turn left on the high street she said and this
on the high street she said and this
on the high street she said and this infuriated some German men because they
infuriated some German men because they
infuriated some German men because they would not take directions from a woman
would not take directions from a woman
would not take directions from a woman and this is what they said and in some
and this is what they said and in some
and this is what they said and in some instances shouted on the phone to BMW so
instances shouted on the phone to BMW so
instances shouted on the phone to BMW so things have certainly
things have certainly
things have certainly change sins and not just our view of
change sins and not just our view of
change sins and not just our view of women and women giving directions but
women and women giving directions but
women and women giving directions but our whole approach to these type of
our whole approach to these type of
our whole approach to these type of intelligent machines of which the voice
intelligent machines of which the voice
intelligent machines of which the voice navigation system was an example today
navigation system was an example today
navigation system was an example today we don’t pick up the phone
we don’t pick up the phone
we don’t pick up the phone to customer service and complain about
to customer service and complain about
to customer service and complain about them we are too busy being a scared of
them we are too busy being a scared of
them we are too busy being a scared of these machines taking our jobs will you
these machines taking our jobs will you
these machines taking our jobs will you be replaced by a robot we can read
be replaced by a robot we can read
be replaced by a robot we can read newspaper articles about this almost
newspaper articles about this almost
newspaper articles about this almost every week and they go on listing all
every week and they go on listing all
every week and they go on listing all the professions that are under threat
the professions that are under threat
the professions that are under threat taxi drivers surgeons bankers lawyers
taxi drivers surgeons bankers lawyers
taxi drivers surgeons bankers lawyers etc etc anything you can do we read soon
etc etc anything you can do we read soon
etc etc anything you can do we read soon there will be a robot that can do it
there will be a robot that can do it
there will be a robot that can do it better and that robot is after your job
better and that robot is after your job
better and that robot is after your job now I’m a journalist and I am well aware
now I’m a journalist and I am well aware
now I’m a journalist and I am well aware that they’re already robots writing
that they’re already robots writing
that they’re already robots writing newspaper articles and last year as a
newspaper articles and last year as a
newspaper articles and last year as a matter of fact Japanese artificial
matter of fact Japanese artificial
matter of fact Japanese artificial intelligence system co-authored a short
intelligence system co-authored a short
intelligence system co-authored a short form novel and that novel was actually
form novel and that novel was actually
form novel and that novel was actually passed the first screening for a
passed the first screening for a
passed the first screening for a national literary award so yes the
national literary award so yes the
national literary award so yes the robots are coming and it’s not well it’s
robots are coming and it’s not well it’s
robots are coming and it’s not well it’s new in some sense but we have been
new in some sense but we have been
new in some sense but we have been through this all before we call this
through this all before we call this
through this all before we call this process that we’re going through with
process that we’re going through with
process that we’re going through with sort of robotics and artificial
sort of robotics and artificial
sort of robotics and artificial intelligence developing and changing the
intelligence developing and changing the
intelligence developing and changing the economy which is happening right now we
economy which is happening right now we
economy which is happening right now we call it the fourth Industrial Revolution
call it the fourth Industrial Revolution
call it the fourth Industrial Revolution which kind of implies that there’s been
which kind of implies that there’s been
which kind of implies that there’s been a first a second and a third Industrial
a first a second and a third Industrial
a first a second and a third Industrial Revolution before and there has and
Revolution before and there has and
Revolution before and there has and maybe they were not on the same scale
maybe they were not on the same scale
maybe they were not on the same scale maybe not they were not of the exact
maybe not they were not of the exact
maybe not they were not of the exact same kind but they were industrial
same kind but they were industrial
same kind but they were industrial revolutions so in the 17 and 1800’s we
revolutions so in the 17 and 1800’s we
revolutions so in the 17 and 1800’s we developed machines that were physically
developed machines that were physically
developed machines that were physically superior to humans in the sense that
superior to humans in the sense that
superior to humans in the sense that they could lift more work faster and hit
they could lift more work faster and hit
they could lift more work faster and hit harder in the factories and they entered
harder in the factories and they entered
harder in the factories and they entered the factories and they destroyed lots of
the factories and they destroyed lots of
the factories and they destroyed lots of jobs and they created lots of social
jobs and they created lots of social
jobs and they created lots of social tension and what they really did with
tension and what they really did with
tension and what they really did with the labor market is that they made human
the labor market is that they made human
the labor market is that they made human physical strength less important on the
physical strength less important on the
physical strength less important on the labor market and this eventually after
labor market and this eventually after
labor market and this eventually after all this social tension freed many
all this social tension freed many
all this social tension freed many humans up from the physical labor to
humans up from the physical labor to
humans up from the physical labor to instead focus on the work of the mind
instead focus on the work of the mind
instead focus on the work of the mind and we got what we call the knowledge
and we got what we call the knowledge
and we got what we call the knowledge economy what human beings contribute
economy what human beings contribute
economy what human beings contribute with in this knowledge economy is our
with in this knowledge economy is our
with in this knowledge economy is our knowledge not our physical strength I
knowledge not our physical strength I
knowledge not our physical strength I think therefore I am employed right so
think therefore I am employed right so
think therefore I am employed right so what happens if artificial intelligence
what happens if artificial intelligence
what happens if artificial intelligence gets better at thinking than us and this
gets better at thinking than us and this
gets better at thinking than us and this is of course what we are very very
is of course what we are very very
is of course what we are very very afraid of at the moment if the machines
afraid of at the moment if the machines
afraid of at the moment if the machines get better with knowledge if they can
get better with knowledge if they can
get better with knowledge if they can store more knowledge which they can and
store more knowledge which they can and
store more knowledge which they can and process more knowledge which they can
process more knowledge which they can
process more knowledge which they can and they will just improve what will be
and they will just improve what will be
and they will just improve what will be left for us to do what will be to speak
left for us to do what will be to speak
left for us to do what will be to speak economics for a while our competitive
economics for a while our competitive
economics for a while our competitive advantage so I would suggest a few
advantage so I would suggest a few
advantage so I would suggest a few things care relationships and empathy
things care relationships and empathy
things care relationships and empathy all of this is tremendously important
all of this is tremendously important
all of this is tremendously important for any economy and all of this requires
for any economy and all of this requires
for any economy and all of this requires at least on some level humaneness there
at least on some level humaneness there
at least on some level humaneness there is a form of consensus emerging that the
is a form of consensus emerging that the
is a form of consensus emerging that the sectors of the economy that will be
sectors of the economy that will be
sectors of the economy that will be relatively protected from automations
relatively protected from automations
relatively protected from automations and the robots coming our sectors and
and the robots coming our sectors and
and the robots coming our sectors and jobs and professions that require what
jobs and professions that require what
jobs and professions that require what we would call a human touch so we’re
we would call a human touch so we’re
we would call a human touch so we’re talking about things like jobs in
talking about things like jobs in
talking about things like jobs in nursing in elderly care early childhood
nursing in elderly care early childhood
nursing in elderly care early childhood education Social Work and psychiatry and
education Social Work and psychiatry and
education Social Work and psychiatry and the skills that where human beings will
the skills that where human beings will
the skills that where human beings will have a competitive advantage against the
have a competitive advantage against the
have a competitive advantage against the robots are the skills needed to do these
robots are the skills needed to do these
robots are the skills needed to do these professions well so relationship
professions well so relationship
professions well so relationship building empathy relationship
building empathy relationship
building empathy relationship maintaining
maintaining
maintaining etc etc now it’s interesting from a
etc etc now it’s interesting from a
etc etc now it’s interesting from a feminist point of view is of course that
feminist point of view is of course that
feminist point of view is of course that these sectors of the economy that are
these sectors of the economy that are
these sectors of the economy that are said to be relatively safe to automation
said to be relatively safe to automation
said to be relatively safe to automation our sectors of the economy very much
our sectors of the economy very much
our sectors of the economy very much dominated by women and the skills
dominated by women and the skills
dominated by women and the skills required to do these type of jobs well
required to do these type of jobs well
required to do these type of jobs well are the same skills that we have been
are the same skills that we have been
are the same skills that we have been taught to view as female skills that
taught to view as female skills that
taught to view as female skills that have probably not been thought about
have probably not been thought about
have probably not been thought about that much as sort of central to the
that much as sort of central to the
that much as sort of central to the economy things that we have largely
economy things that we have largely
economy things that we have largely taken for granted and if you look at the
taken for granted and if you look at the
taken for granted and if you look at the care sector in almost any economy in the
care sector in almost any economy in the
care sector in almost any economy in the world you will find women working there
world you will find women working there
world you will find women working there in many cases women of ethnic minorities
in many cases women of ethnic minorities
in many cases women of ethnic minorities for very little pay often below minimum
for very little pay often below minimum
for very little pay often below minimum wage so what happens if this very very
wage so what happens if this very very
wage so what happens if this very very undervalued sector of the economy and
undervalued sector of the economy and
undervalued sector of the economy and these very very undervalued skills
these very very undervalued skills
these very very undervalued skills suddenly become so the part of the
suddenly become so the part of the
suddenly become so the part of the economy kind of protected from the
economy kind of protected from the
economy kind of protected from the robots will it make us value it more
robots will it make us value it more
robots will it make us value it more will the care sector move from the
will the care sector move from the
will the care sector move from the margins of the economy to the center of
margins of the economy to the center of
margins of the economy to the center of the economy
the economy
the economy well the skills required to do these
well the skills required to do these
well the skills required to do these type of jobs well move from the margin
type of jobs well move from the margin
type of jobs well move from the margin to the center in the same way and will
to the center in the same way and will
to the center in the same way and will the future in this sense be female well
the future in this sense be female well
the future in this sense be female well some people would say well you know the
some people would say well you know the
some people would say well you know the machines will learn to do care work as
machines will learn to do care work as
machines will learn to do care work as well and maybe they will there are
well and maybe they will there are
well and maybe they will there are certain aspects of care work that lends
certain aspects of care work that lends
certain aspects of care work that lends itself very well to automation and in
itself very well to automation and in
itself very well to automation and in Japan they have already developed
Japan they have already developed
Japan they have already developed machines that can lift a patient from
machines that can lift a patient from
machines that can lift a patient from the wheelchair and put them on their bed
the wheelchair and put them on their bed
the wheelchair and put them on their bed and Toyota are developing robots that
and Toyota are developing robots that
and Toyota are developing robots that can help with housework or follow
can help with housework or follow
can help with housework or follow nursing assistants around helping with
nursing assistants around helping with
nursing assistants around helping with different things but I think most of us
different things but I think most of us
different things but I think most of us would agree that there is something
would agree that there is something
would agree that there is something about these professions that at least if
about these professions that at least if
about these professions that at least if you are going to do them well requires
you are going to do them well requires
you are going to do them well requires human empathy and human connection and
human empathy and human connection and
human empathy and human connection and there’s also this paradox in within
there’s also this paradox in within
there’s also this paradox in within robotics that basically says that
robotics that basically says that
robotics that basically says that whatever we as human beings find
whatever we as human beings find
whatever we as human beings find difficult or hard to learn
difficult or hard to learn
difficult or hard to learn it’s like advanced chess or advanced
it’s like advanced chess or advanced
it’s like advanced chess or advanced mathematics that is quite easy for
mathematics that is quite easy for
mathematics that is quite easy for computers to learn and Excel it but
computers to learn and Excel it but
computers to learn and Excel it but stuff that comes natural to us like
stuff that comes natural to us like
stuff that comes natural to us like walking or catching a ball or hopscotch
walking or catching a ball or hopscotch
walking or catching a ball or hopscotch you know they’re even harder in these
you know they’re even harder in these
you know they’re even harder in these type of shoes machines find really hard
type of shoes machines find really hard
type of shoes machines find really hard but is really really hard to program
but is really really hard to program
but is really really hard to program and in some sense maybe it doesn’t
and in some sense maybe it doesn’t
and in some sense maybe it doesn’t matter that computers can quite easily
matter that computers can quite easily
matter that computers can quite easily nowadays beat the world champion in
nowadays beat the world champion in
nowadays beat the world champion in chess because there’s not a single robot
chess because there’s not a single robot
chess because there’s not a single robot out there that is able to come into
out there that is able to come into
out there that is able to come into another person’s home and make that
another person’s home and make that
another person’s home and make that person a cup of tea that is too hard and
person a cup of tea that is too hard and
person a cup of tea that is too hard and there’s not a single robot that’s able
there’s not a single robot that’s able
there’s not a single robot that’s able to follow your average toddler around a
to follow your average toddler around a
to follow your average toddler around a playground and keeping this toddlers
playground and keeping this toddlers
playground and keeping this toddlers safe on swings and climbing frames and
safe on swings and climbing frames and
safe on swings and climbing frames and and etc that’s too hard to program to
and etc that’s too hard to program to
and etc that’s too hard to program to because all of that knowledge that type
because all of that knowledge that type
because all of that knowledge that type of knowledge is stuff we humans learn
of knowledge is stuff we humans learn
of knowledge is stuff we humans learn through our bodies interacting with our
through our bodies interacting with our
through our bodies interacting with our environment which of course is difficult
environment which of course is difficult
environment which of course is difficult for machines and so what will change
for machines and so what will change
for machines and so what will change with this there is another thing that I
with this there is another thing that I
with this there is another thing that I find quite interesting about all of this
find quite interesting about all of this
find quite interesting about all of this about the body and that’s of course that
about the body and that’s of course that
about the body and that’s of course that women we’ve been expected to do the work
women we’ve been expected to do the work
women we’ve been expected to do the work that men don’t want to do and a lot of
that men don’t want to do and a lot of
that men don’t want to do and a lot of this work in the economy is work around
this work in the economy is work around
this work in the economy is work around the body you know the bearing and racing
the body you know the bearing and racing
the body you know the bearing and racing of children of course but also looking
of children of course but also looking
of children of course but also looking after bodies the old the sick the young
after bodies the old the sick the young
after bodies the old the sick the young looking after men’s bodies so men are
looking after men’s bodies so men are
looking after men’s bodies so men are freed up to do the work of the mind and
freed up to do the work of the mind and
freed up to do the work of the mind and the better women in the economy have
the better women in the economy have
the better women in the economy have been
been
been doing this type of work the more
doing this type of work the more
doing this type of work the more invisible it has become will the robots
invisible it has become will the robots
invisible it has become will the robots change this well there is a chance
change this well there is a chance
change this well there is a chance because most of the skills that women
because most of the skills that women
because most of the skills that women have been expected to excel at or at
have been expected to excel at or at
have been expected to excel at or at least do without complaining in the
least do without complaining in the
least do without complaining in the economy are the exact same things that
economy are the exact same things that
economy are the exact same things that artificial intelligence really struggles
artificial intelligence really struggles
artificial intelligence really struggles with so imagine a future where robots
with so imagine a future where robots
with so imagine a future where robots and artificial intelligence comes into
and artificial intelligence comes into
and artificial intelligence comes into sector of the sector of the economy and
sector of the sector of the economy and
sector of the sector of the economy and destroys jobs and men who have lost
destroys jobs and men who have lost
destroys jobs and men who have lost their jobs to artificial intelligence
their jobs to artificial intelligence
their jobs to artificial intelligence will have to move into jobs in nursing
will have to move into jobs in nursing
will have to move into jobs in nursing childcare and elderly care because
childcare and elderly care because
childcare and elderly care because that’s where the demand for humans in
that’s where the demand for humans in
that’s where the demand for humans in the economy will be now that type of
the economy will be now that type of
the economy will be now that type of transition will be in many ways harder
transition will be in many ways harder
transition will be in many ways harder than in previous in industrial
than in previous in industrial
than in previous in industrial revolutions where we had to move people
revolutions where we had to move people
revolutions where we had to move people from the countryside when jobs were lost
from the countryside when jobs were lost
from the countryside when jobs were lost in agriculture into the factories in the
in agriculture into the factories in the
in agriculture into the factories in the cities because to move unemployed men
cities because to move unemployed men
cities because to move unemployed men into those type of sectors actually
into those type of sectors actually
into those type of sectors actually requires not sure sort of you know it’s
requires not sure sort of you know it’s
requires not sure sort of you know it’s not just a question of economics and
not just a question of economics and
not just a question of economics and public policy but also about sort of
public policy but also about sort of
public policy but also about sort of changing what masculinity is and how we
changing what masculinity is and how we
changing what masculinity is and how we value care work in the economy but
value care work in the economy but
value care work in the economy but there’s a big discussion at the moment
there’s a big discussion at the moment
there’s a big discussion at the moment about you know the need for more
about you know the need for more
about you know the need for more economic redistribution because of the
economic redistribution because of the
economic redistribution because of the robots so taxing the robots and maybe
robots so taxing the robots and maybe
robots so taxing the robots and maybe creating something like a universal
creating something like a universal
creating something like a universal basic income for people who’ve lost the
basic income for people who’ve lost the
basic income for people who’ve lost the jobs but I think just as important as
jobs but I think just as important as
jobs but I think just as important as sort of this discussion about taxing the
sort of this discussion about taxing the
sort of this discussion about taxing the very board saw the openness of the robot
very board saw the openness of the robot
very board saw the openness of the robot or whoever we’re gonna tax it’s a
or whoever we’re gonna tax it’s a
or whoever we’re gonna tax it’s a discussion what do we do with the money
discussion what do we do with the money
discussion what do we do with the money that we raise in this way and to spend
that we raise in this way and to spend
that we raise in this way and to spend this money into creating good jobs in
this money into creating good jobs in
this money into creating good jobs in the care sector whether human beings
the care sector whether human beings
the care sector whether human beings will actually keep on probably at least
will actually keep on probably at least
will actually keep on probably at least for the foreseeable future to have a
for the foreseeable future to have a
for the foreseeable future to have a competitive advantage over the robots
competitive advantage over the robots
competitive advantage over the robots and where there will be big demand
and where there will be big demand
and where there will be big demand because of our aging societies that
because of our aging societies that
because of our aging societies that would make a lot of sense also it would
would make a lot of sense also it would
would make a lot of sense also it would and be a bad Society we would be
and be a bad Society we would be
and be a bad Society we would be creating it would kind of be like
creating it would kind of be like
creating it would kind of be like changing the knowledge economy for the
changing the knowledge economy for the
changing the knowledge economy for the empathy economy or maybe the
empathy economy or maybe the
empathy economy or maybe the relationship economy and in this sense
relationship economy and in this sense
relationship economy and in this sense the machines could actually help us
the machines could actually help us
the machines could actually help us become more humans that is if we let
become more humans that is if we let
become more humans that is if we let them now there are lot of people lots of
them now there are lot of people lots of
them now there are lot of people lots of very intelligent people that say that no
very intelligent people that say that no
very intelligent people that say that no this won’t happen artificial
this won’t happen artificial
this won’t happen artificial intelligence is nothing that will help
intelligence is nothing that will help
intelligence is nothing that will help us it’s an art it’s an fundamental
us it’s an art it’s an fundamental
us it’s an art it’s an fundamental threat to humanity and soon there won’t
threat to humanity and soon there won’t
threat to humanity and soon there won’t be anything left that the robot that we
be anything left that the robot that we
be anything left that the robot that we can do better than the robots so let’s
can do better than the robots so let’s
can do better than the robots so let’s just assume that these people aren’t
just assume that these people aren’t
just assume that these people aren’t wrong I’m not saying there are I don’t
wrong I’m not saying there are I don’t
wrong I’m not saying there are I don’t know I can’t look into the future but
know I can’t look into the future but
know I can’t look into the future but let’s for a moment assume that they are
let’s for a moment assume that they are
let’s for a moment assume that they are wrong are they wrong because they are
wrong are they wrong because they are
wrong are they wrong because they are overestimating the robots or are they
overestimating the robots or are they
overestimating the robots or are they wrong because they are under estimating
wrong because they are under estimating
wrong because they are under estimating their own humanity and to be more
their own humanity and to be more
their own humanity and to be more specific that they are under estimating
specific that they are under estimating
specific that they are under estimating the parts of their own humanity that we
the parts of their own humanity that we
the parts of their own humanity that we have for centuries branded as female and
have for centuries branded as female and
have for centuries branded as female and therefore deemed as unimportant shoved
therefore deemed as unimportant shoved
therefore deemed as unimportant shoved to one side and said this is not
to one side and said this is not
to one side and said this is not relevant not to the economy not to the
relevant not to the economy not to the
relevant not to the economy not to the society this is something we are just
society this is something we are just
society this is something we are just going to take for granted but maybe it
going to take for granted but maybe it
going to take for granted but maybe it is relevant maybe it’s the key to this
is relevant maybe it’s the key to this
is relevant maybe it’s the key to this whole fourth Industrial Revolution thank
whole fourth Industrial Revolution thank
whole fourth Industrial Revolution thank you
you
you [Applause]
”
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