[Music] so artificial intelligence has the face
so artificial intelligence has the face
so artificial intelligence has the face of a woman and don’t worry it’s not me
of a woman and don’t worry it’s not me
of a woman and don’t worry it’s not me her name is Sofia
her name is Sofia
her name is Sofia and she’s created quite a storm on the
and she’s created quite a storm on the
and she’s created quite a storm on the Internet the Saudis were quite Swift
Internet the Saudis were quite Swift
Internet the Saudis were quite Swift with that courtship she’s the first
with that courtship she’s the first
with that courtship she’s the first robot to be given a citizenship that got
robot to be given a citizenship that got
robot to be given a citizenship that got me thinking and for many other people as
me thinking and for many other people as
me thinking and for many other people as well what does that mean for her rights
well what does that mean for her rights
well what does that mean for her rights will she have more rights than the Saudi
will she have more rights than the Saudi
will she have more rights than the Saudi women or shall have the same right but
women or shall have the same right but
women or shall have the same right but most interestingly it also got me
most interestingly it also got me
most interestingly it also got me thinking what does it mean for women in
thinking what does it mean for women in
thinking what does it mean for women in Africa if she had features of an African
Africa if she had features of an African
Africa if she had features of an African woman like me and a number of you in
woman like me and a number of you in
woman like me and a number of you in this room would she have automatically
this room would she have automatically
this room would she have automatically gotten that citizenship let her know in
gotten that citizenship let her know in
gotten that citizenship let her know in a visa so we’re entering or rather were
a visa so we’re entering or rather were
a visa so we’re entering or rather were said to be at the cusp of the fourth
said to be at the cusp of the fourth
said to be at the cusp of the fourth Industrial Revolution and this is an era
Industrial Revolution and this is an era
Industrial Revolution and this is an era in human development that is said to
in human development that is said to
in human development that is said to blur the lines between the digital the
blur the lines between the digital the
blur the lines between the digital the human and the biological you can think
human and the biological you can think
human and the biological you can think about it this way machines are taking
about it this way machines are taking
about it this way machines are taking over or are they now that is really
over or are they now that is really
over or are they now that is really scary
scary
scary and has gotten a lot of people thinking
and has gotten a lot of people thinking
and has gotten a lot of people thinking about the implications for the future of
about the implications for the future of
about the implications for the future of work the future of livelihoods and our
work the future of livelihoods and our
work the future of livelihoods and our everyday lives there are many things
everyday lives there are many things
everyday lives there are many things that we take for granted when we try and
that we take for granted when we try and
that we take for granted when we try and wrap our heads around this really rather
wrap our heads around this really rather
wrap our heads around this really rather abstract concept is what does it really
abstract concept is what does it really
abstract concept is what does it really mean
mean
mean however the everyday gadgets that we use
however the everyday gadgets that we use
however the everyday gadgets that we use and I’m holding one of them right now
and I’m holding one of them right now
and I’m holding one of them right now are embedded or I carry aspects of
are embedded or I carry aspects of
are embedded or I carry aspects of artificial intelligence think about your
artificial intelligence think about your
artificial intelligence think about your smartphones the facial recognition that
smartphones the facial recognition that
smartphones the facial recognition that is inbuilt in there think about what we
is inbuilt in there think about what we
is inbuilt in there think about what we excited about when we think about the
excited about when we think about the
excited about when we think about the future self driven cars
future self driven cars
future self driven cars that’s official intelligence but there’s
that’s official intelligence but there’s
that’s official intelligence but there’s another aspect of it that is driving
another aspect of it that is driving
another aspect of it that is driving industrialization in our economy
industrialization in our economy
industrialization in our economy and this is the automation of work think
and this is the automation of work think
and this is the automation of work think about automation in the factories in the
about automation in the factories in the
about automation in the factories in the manufacturing sector the spaces where
manufacturing sector the spaces where
manufacturing sector the spaces where women are most economically active when
women are most economically active when
women are most economically active when you think about that it gets us thinking
you think about that it gets us thinking
you think about that it gets us thinking about who is going to be losing and who
about who is going to be losing and who
about who is going to be losing and who is going to be gaining it is not the
is going to be gaining it is not the
is going to be gaining it is not the first Industrial Revolution that we’re
first Industrial Revolution that we’re
first Industrial Revolution that we’re experiencing but somehow there’s
experiencing but somehow there’s
experiencing but somehow there’s something about this face that makes us
something about this face that makes us
something about this face that makes us uncomfortable it is the speed and the
uncomfortable it is the speed and the
uncomfortable it is the speed and the pace at which it moves it is the fact
pace at which it moves it is the fact
pace at which it moves it is the fact that we haven’t quite wrapped our heads
that we haven’t quite wrapped our heads
that we haven’t quite wrapped our heads around what it means we went through the
around what it means we went through the
around what it means we went through the first Industrial Revolution where we
first Industrial Revolution where we
first Industrial Revolution where we used water and steam for machine
used water and steam for machine
used water and steam for machine production we went through the Second
production we went through the Second
production we went through the Second Industrial Revolution that used electric
Industrial Revolution that used electric
Industrial Revolution that used electric power to increase production we went
power to increase production we went
power to increase production we went through the third Industrial Revolution
through the third Industrial Revolution
through the third Industrial Revolution that use technology and information to
that use technology and information to
that use technology and information to automate production and throughout those
automate production and throughout those
automate production and throughout those systems of development throughout that
systems of development throughout that
systems of development throughout that progress there some that gained and some
progress there some that gained and some
progress there some that gained and some that lost I am particularly concerned
that lost I am particularly concerned
that lost I am particularly concerned about what it means for the rights of
about what it means for the rights of
about what it means for the rights of women in Africa and most specifically
women in Africa and most specifically
women in Africa and most specifically for women’s economic rights the right
for women’s economic rights the right
for women’s economic rights the right and the capacity to participate in the
and the capacity to participate in the
and the capacity to participate in the economy the right to work the right to
economy the right to work the right to
economy the right to work the right to social protection should you lose your
social protection should you lose your
social protection should you lose your income the right to a life of dignity
income the right to a life of dignity
income the right to a life of dignity the right to food and the right to
the right to food and the right to
the right to food and the right to benefit from the science and culture
benefit from the science and culture
benefit from the science and culture advances that we are experiencing and
advances that we are experiencing and
advances that we are experiencing and most importantly the right to derive
most importantly the right to derive
most importantly the right to derive equitable benefits that I equivalent
equitable benefits that I equivalent
equitable benefits that I equivalent your contribution in your shares in the
your contribution in your shares in the
your contribution in your shares in the economy now when we look at we observe
economy now when we look at we observe
economy now when we look at we observe what has been said about artificial
what has been said about artificial
what has been said about artificial intelligence
intelligence
intelligence much of the analysis is looking at what
much of the analysis is looking at what
much of the analysis is looking at what will happen in the formal sector of
will happen in the formal sector of
will happen in the formal sector of employment we’ve had about the
employment we’ve had about the
employment we’ve had about the intensification of future jobs around
intensification of future jobs around
intensification of future jobs around ICT digitization computers ladies if
ICT digitization computers ladies if
ICT digitization computers ladies if you’re still studying my daughter’s in
you’re still studying my daughter’s in
you’re still studying my daughter’s in the audience engineering is the way to
the audience engineering is the way to
the audience engineering is the way to go
go
go think about it however we also know that
think about it however we also know that
think about it however we also know that what the reality of our structures in
what the reality of our structures in
what the reality of our structures in the continent the bulk of the women are
the continent the bulk of the women are
the continent the bulk of the women are not in formal employment there are in
not in formal employment there are in
not in formal employment there are in the informal sector and those who are
the informal sector and those who are
the informal sector and those who are formally employed are really at the
formally employed are really at the
formally employed are really at the bottom of the chain in terms of
bottom of the chain in terms of
bottom of the chain in terms of occupying and dominating the unskilled
occupying and dominating the unskilled
occupying and dominating the unskilled labor force and that is the first line
labor force and that is the first line
labor force and that is the first line of defense so to speak it is the first
of defense so to speak it is the first
of defense so to speak it is the first wave of jobs that were likely to lose
the implications of attrition
the implications of attrition intelligence we get so excited about
intelligence we get so excited about
intelligence we get so excited about robotics and its potential we hear about
robotics and its potential we hear about
robotics and its potential we hear about the medical advances but we don’t hear
the medical advances but we don’t hear
the medical advances but we don’t hear enough about what the social costs might
enough about what the social costs might
enough about what the social costs might be and who might lose I actually think
be and who might lose I actually think
be and who might lose I actually think that if I look at the analysis that has
that if I look at the analysis that has
that if I look at the analysis that has been ongoing around us around the
been ongoing around us around the
been ongoing around us around the question of the future of work driven by
question of the future of work driven by
question of the future of work driven by the narratives within the World Economic
the narratives within the World Economic
the narratives within the World Economic Forum our own governments the African
Forum our own governments the African
Forum our own governments the African Development Bank there focus solely on
Development Bank there focus solely on
Development Bank there focus solely on job losses in the formal sector but when
job losses in the formal sector but when
job losses in the formal sector but when we are realistic and we look at the
we are realistic and we look at the
we are realistic and we look at the structures of our economies the reality
structures of our economies the reality
structures of our economies the reality is the bulk of economic activity is
is the bulk of economic activity is
is the bulk of economic activity is happening in in formalized spaces on
happening in in formalized spaces on
happening in in formalized spaces on average the GDP the informal sector
average the GDP the informal sector
average the GDP the informal sector contributes between 30 to 50 percent of
contributes between 30 to 50 percent of
contributes between 30 to 50 percent of the GDP 70% of people of the labor pool
the GDP 70% of people of the labor pool
the GDP 70% of people of the labor pool that is active in the informal sector is
that is active in the informal sector is
that is active in the informal sector is women and most of them are informal
women and most of them are informal
women and most of them are informal traders how much have we heard about
traders how much have we heard about
traders how much have we heard about what the implications of artificial
what the implications of artificial
what the implications of artificial intelligence and advancements in
intelligence and advancements in
intelligence and advancements in technology and automation will have in
technology and automation will have in
technology and automation will have in their lives we’re having
their lives we’re having
their lives we’re having our historical conversation that is
our historical conversation that is
our historical conversation that is failing to come to grasp with the fact
failing to come to grasp with the fact
failing to come to grasp with the fact that the advances in artificial
that the advances in artificial
that the advances in artificial intelligence are not as our political
intelligence are not as our political
intelligence are not as our political and social adjust as they seem to be not
and social adjust as they seem to be not
and social adjust as they seem to be not everyone will benefit what can we learn
everyone will benefit what can we learn
everyone will benefit what can we learn from technological advances in the past
from technological advances in the past
from technological advances in the past particularly the ones that have been
particularly the ones that have been
particularly the ones that have been accessible to women in the economic
accessible to women in the economic
accessible to women in the economic spaces where they’re most active one of
spaces where they’re most active one of
spaces where they’re most active one of the challenges that women in the
the challenges that women in the
the challenges that women in the informal sector face is that of access
informal sector face is that of access
informal sector face is that of access to finance and within the technology
to finance and within the technology
to finance and within the technology space we have been so excited about the
space we have been so excited about the
space we have been so excited about the prospects and the potential of mobile
prospects and the potential of mobile
prospects and the potential of mobile money to open up access to finance for
money to open up access to finance for
money to open up access to finance for previously unbanked populations in Bursa
previously unbanked populations in Bursa
previously unbanked populations in Bursa in East Africa on every any given day is
in East Africa on every any given day is
in East Africa on every any given day is said to move close to 730 million u.s.
said to move close to 730 million u.s.
said to move close to 730 million u.s. dollars on any given day orange money in
dollars on any given day orange money in
dollars on any given day orange money in West Africa has moved money equal cash
West Africa has moved money equal cash
West Africa has moved money equal cash in Zimbabwe just across the Limpopo has
in Zimbabwe just across the Limpopo has
in Zimbabwe just across the Limpopo has also been quite instrumental despite
also been quite instrumental despite
also been quite instrumental despite that though because of the challenges
that though because of the challenges
that though because of the challenges that women face with access to
that women face with access to
that women face with access to technology particularly smartphones and
technology particularly smartphones and
technology particularly smartphones and also access in terms of transportation
also access in terms of transportation
also access in terms of transportation get into the access points where they
get into the access points where they
get into the access points where they connect collect money as well as the
connect collect money as well as the
connect collect money as well as the high transaction costs that I deterrent
high transaction costs that I deterrent
high transaction costs that I deterrent for somebody who must make hard
for somebody who must make hard
for somebody who must make hard decisions between providing a meal the
decisions between providing a meal the
decisions between providing a meal the next day or buying stock for their small
next day or buying stock for their small
next day or buying stock for their small shop 70 percent of women in Africa I
shop 70 percent of women in Africa I
shop 70 percent of women in Africa I said to not be able to have access to
said to not be able to have access to
said to not be able to have access to finance so when I have these discussions
finance so when I have these discussions
finance so when I have these discussions with colleagues the question is but hang
with colleagues the question is but hang
with colleagues the question is but hang on you’re talking 20th century
on you’re talking 20th century
on you’re talking 20th century innovation go we are talking about the
innovation go we are talking about the
innovation go we are talking about the future here we’re talking about going to
future here we’re talking about going to
future here we’re talking about going to space we’re talking about exciting
space we’re talking about exciting
space we’re talking about exciting technology why
technology why
technology why you hung up on what Mobile Money has
you hung up on what Mobile Money has
you hung up on what Mobile Money has done the point that I’m trying to
done the point that I’m trying to
done the point that I’m trying to emphasize is in our excitement we’ve got
emphasize is in our excitement we’ve got
emphasize is in our excitement we’ve got historical lessons to learn from and
historical lessons to learn from and
historical lessons to learn from and technology gives us a glimpse into what
technology gives us a glimpse into what
technology gives us a glimpse into what the future might look like
not all is gloom there are some exciting
not all is gloom there are some exciting prospects around artificial intelligence
prospects around artificial intelligence
prospects around artificial intelligence or around the the potential value of
or around the the potential value of
or around the the potential value of technology there is a very exciting
technology there is a very exciting
technology there is a very exciting initiative coming out of Mozambique
initiative coming out of Mozambique
initiative coming out of Mozambique women innovators in the tech industry
women innovators in the tech industry
women innovators in the tech industry working with informal traders decided to
working with informal traders decided to
working with informal traders decided to assist them in developing an application
assist them in developing an application
assist them in developing an application called Musa with this app the traders
called Musa with this app the traders
called Musa with this app the traders and wasn’t be upload a list of their
and wasn’t be upload a list of their
and wasn’t be upload a list of their shopping products that they need from
shopping products that they need from
shopping products that they need from the South African side of the border and
the South African side of the border and
the South African side of the border and without having to leave their homes or
without having to leave their homes or
without having to leave their homes or having to leave their stores the orders
having to leave their stores the orders
having to leave their stores the orders received on the other side of the border
received on the other side of the border
received on the other side of the border and the shops packaged the goods and
and the shops packaged the goods and
and the shops packaged the goods and they dispatch them to a network of taxi
they dispatch them to a network of taxi
they dispatch them to a network of taxi drivers who then deliver the goods and
drivers who then deliver the goods and
drivers who then deliver the goods and Mozambique I have the opportunity to
Mozambique I have the opportunity to
Mozambique I have the opportunity to speak to one of the innovators around
speak to one of the innovators around
speak to one of the innovators around this and I said to her tell me in real
this and I said to her tell me in real
this and I said to her tell me in real terms that sounds exciting but what
terms that sounds exciting but what
terms that sounds exciting but what difference did it make to the lives of
difference did it make to the lives of
difference did it make to the lives of the women and she says to me one of the
the women and she says to me one of the
the women and she says to me one of the biggest things is it safe than time and
biggest things is it safe than time and
biggest things is it safe than time and we all know time is money right and in
we all know time is money right and in
we all know time is money right and in our economies time is money and money is
our economies time is money and money is
our economies time is money and money is very important it saves them time to be
very important it saves them time to be
very important it saves them time to be able to deliver on the jewels that they
able to deliver on the jewels that they
able to deliver on the jewels that they have within their communities their
have within their communities their
have within their communities their domestic roles time spent with their
domestic roles time spent with their
domestic roles time spent with their children taking care of their education
children taking care of their education
children taking care of their education needs and their health needs but most
needs and their health needs but most
needs and their health needs but most importantly it also protects them from
importantly it also protects them from
importantly it also protects them from the potential harassment and violations
the potential harassment and violations
the potential harassment and violations that they are subjected to at their
that they are subjected to at their
that they are subjected to at their borders which brings me to another
borders which brings me to another
borders which brings me to another potentially exciting potential of
potentially exciting potential of
potentially exciting potential of attrition intelligence it’s thinking
attrition intelligence it’s thinking
attrition intelligence it’s thinking about this I actually wondered what
about this I actually wondered what
about this I actually wondered what difference would it make
difference would it make
difference would it make we said digitized our borders and
we said digitized our borders and
we said digitized our borders and replace all those border officials with
replace all those border officials with
replace all those border officials with robots wouldn’t it make it a pleasure
robots wouldn’t it make it a pleasure
robots wouldn’t it make it a pleasure for travel the robot sees you coming and
for travel the robot sees you coming and
for travel the robot sees you coming and instead of saying what brings me to
instead of saying what brings me to
instead of saying what brings me to South Africa well what brings you to
South Africa well what brings you to
South Africa well what brings you to Zimbabwe
Zimbabwe
Zimbabwe what brings you to Kenya it says that’s
what brings you to Kenya it says that’s
what brings you to Kenya it says that’s way ma’am well that’s an exciting
way ma’am well that’s an exciting
way ma’am well that’s an exciting potential I think but I think most
potential I think but I think most
potential I think but I think most importantly I’m really thinking about
importantly I’m really thinking about
importantly I’m really thinking about how we think about digitization
how we think about digitization
how we think about digitization artificial intelligence
artificial intelligence
artificial intelligence advances in technology to facilitate the
advances in technology to facilitate the
advances in technology to facilitate the movement of people and goods across our
movement of people and goods across our
movement of people and goods across our borders so we can make the Amtrak trade
borders so we can make the Amtrak trade
borders so we can make the Amtrak trade agreements that we have all signed up to
agreements that we have all signed up to
agreements that we have all signed up to a reality would that not ease the
a reality would that not ease the
a reality would that not ease the conditions of doing business for the
conditions of doing business for the
conditions of doing business for the informal traders of course and the
informal traders of course and the
informal traders of course and the reason why I keep emphasizing on the
reason why I keep emphasizing on the
reason why I keep emphasizing on the informal traders is as more people lose
informal traders is as more people lose
informal traders is as more people lose their jobs that will become a safety net
their jobs that will become a safety net
their jobs that will become a safety net for our economies and there’s a lot of
for our economies and there’s a lot of
for our economies and there’s a lot of value in how the informal economy is
value in how the informal economy is
value in how the informal economy is organized the solidarity behind that the
organized the solidarity behind that the
organized the solidarity behind that the dependence on people-to-people networks
dependence on people-to-people networks
dependence on people-to-people networks on social relations and the fact that
on social relations and the fact that
on social relations and the fact that the benefits and the returns our crew to
the benefits and the returns our crew to
the benefits and the returns our crew to the house would level where they’re most
the house would level where they’re most
the house would level where they’re most needed there’s much talk about how we
needed there’s much talk about how we
needed there’s much talk about how we cushion those who live lose jobs through
cushion those who live lose jobs through
cushion those who live lose jobs through say universal basic income grants but
say universal basic income grants but
say universal basic income grants but there’s a question of how do we continue
there’s a question of how do we continue
there’s a question of how do we continue to protect the potential for households
to protect the potential for households
to protect the potential for households to continue to generate income that can
to continue to generate income that can
to continue to generate income that can be directly used at those at those
be directly used at those at those
be directly used at those at those levels I’ve talked about the advances
levels I’ve talked about the advances
levels I’ve talked about the advances around access to finance and the
around access to finance and the
around access to finance and the potential of the technological advances
potential of the technological advances
potential of the technological advances the one thing that really concerns me
the one thing that really concerns me
the one thing that really concerns me and I think we should be thinking about
and I think we should be thinking about
and I think we should be thinking about particularly for women’s rights
particularly for women’s rights
particularly for women’s rights activists
activists
activists is the fact that artificial intelligence
is the fact that artificial intelligence
is the fact that artificial intelligence particularly in the spaces of the
particularly in the spaces of the
particularly in the spaces of the finance and the banking sector job
finance and the banking sector job
finance and the banking sector job recruitment depend on algorithms big
recruitment depend on algorithms big
recruitment depend on algorithms big data mathematical models right that are
data mathematical models right that are
data mathematical models right that are embedded and laden with some extent of
embedded and laden with some extent of
embedded and laden with some extent of sexism and inequality and if we don’t
sexism and inequality and if we don’t
sexism and inequality and if we don’t think about what goes into those models
think about what goes into those models
think about what goes into those models who is framing the parameters of what
who is framing the parameters of what
who is framing the parameters of what goes into those models then we’re
goes into those models then we’re
goes into those models then we’re missing the point what is most
missing the point what is most
missing the point what is most disturbing is looking at where the
disturbing is looking at where the
disturbing is looking at where the advancements are going they seems to be
advancements are going they seems to be
advancements are going they seems to be very few organizations and very few
very few organizations and very few
very few organizations and very few companies that are working hard to
companies that are working hard to
companies that are working hard to remove the biases within the algorithms
remove the biases within the algorithms
remove the biases within the algorithms that is of concern to me decisions are
that is of concern to me decisions are
that is of concern to me decisions are being made about who gets jobs who has
being made about who gets jobs who has
being made about who gets jobs who has access to finance how much it is and
access to finance how much it is and
access to finance how much it is and these are based on income levels they’re
these are based on income levels they’re
these are based on income levels they’re based on where you are who you are what
based on where you are who you are what
based on where you are who you are what records are available about you in the
records are available about you in the
records are available about you in the data systems
data systems
data systems so with these embedded inequalities
so with these embedded inequalities
so with these embedded inequalities based a lot of people who will fall
based a lot of people who will fall
based a lot of people who will fall through the cracks these are questions
through the cracks these are questions
through the cracks these are questions that I think we need to think about what
that I think we need to think about what
that I think we need to think about what will shift the needle and I was very
will shift the needle and I was very
will shift the needle and I was very deliberate about this picture that I’m
deliberate about this picture that I’m
deliberate about this picture that I’m putting forward is I think a lot of hope
putting forward is I think a lot of hope
putting forward is I think a lot of hope lies in our youth Africa needs to think
lies in our youth Africa needs to think
lies in our youth Africa needs to think about how we take advantage of the youth
about how we take advantage of the youth
about how we take advantage of the youth dividend our young women are more
dividend our young women are more
dividend our young women are more educated than say women two generations
educated than say women two generations
educated than say women two generations behind them maybe three however there’s
behind them maybe three however there’s
behind them maybe three however there’s a lot that needs to be done in terms of
a lot that needs to be done in terms of
a lot that needs to be done in terms of closing the gender gap within the
closing the gender gap within the
closing the gender gap within the technology science and engineering
technology science and engineering
technology science and engineering fields within the computer and
fields within the computer and
fields within the computer and digitization bills how do we go get more
digitization bills how do we go get more
digitization bills how do we go get more girls interested in studying Computer
girls interested in studying Computer
girls interested in studying Computer Sciences we need to look at that quite
Sciences we need to look at that quite
Sciences we need to look at that quite carefully governments and companies and
carefully governments and companies and
carefully governments and companies and society all of us we need to come
society all of us we need to come
society all of us we need to come together to provide regulations think
together to provide regulations think
together to provide regulations think about what the regulations and standards
about what the regulations and standards
about what the regulations and standards ought to
ought to
ought to if artificial intelligence is to benefit
if artificial intelligence is to benefit
if artificial intelligence is to benefit us we have to be part of a conversation
us we have to be part of a conversation
us we have to be part of a conversation of where it goes we have to be part of a
of where it goes we have to be part of a
of where it goes we have to be part of a conversation about which industries
conversation about which industries
conversation about which industries which spaces in the economy who would
which spaces in the economy who would
which spaces in the economy who would benefit women need to be involved in
benefit women need to be involved in
benefit women need to be involved in technological innovations they are lots
technological innovations they are lots
technological innovations they are lots of capable African women are they this
of capable African women are they this
of capable African women are they this is required in order for artificial
is required in order for artificial
is required in order for artificial intelligence and innovation in the space
intelligence and innovation in the space
intelligence and innovation in the space to respond to the gender differences the
to respond to the gender differences the
to respond to the gender differences the future is here to stay we cannot change
future is here to stay we cannot change
future is here to stay we cannot change stop the worlds of time however
stop the worlds of time however
stop the worlds of time however artificial intelligence could be
artificial intelligence could be
artificial intelligence could be transformative but it should not take
transformative but it should not take
transformative but it should not take away women’s economic autonomy thank you
away women’s economic autonomy thank you
away women’s economic autonomy thank you [Applause]
[Applause]
[Applause] [Music]
”
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