I could evening everyone good an are bent the gates they’re good yeah that’s
bent the gates they’re good yeah that’s
bent the gates they’re good yeah that’s what a German I know but it’s absolutely
what a German I know but it’s absolutely
what a German I know but it’s absolutely wonderful to be here to be with you
wonderful to be here to be with you
wonderful to be here to be with you today to speak in Regensburg but also to
today to speak in Regensburg but also to
today to speak in Regensburg but also to speak to the Ted community around the
speak to the Ted community around the
speak to the Ted community around the world as was said and my name is Alvin
world as was said and my name is Alvin
world as was said and my name is Alvin carpio and ironic globe community called
carpio and ironic globe community called
carpio and ironic globe community called for fourth group we’re a global
for fourth group we’re a global
for fourth group we’re a global community looking at the intersection
community looking at the intersection
community looking at the intersection between politics and technology so we
between politics and technology so we
between politics and technology so we already know how much technology is
already know how much technology is
already know how much technology is impacting the way economies and
impacting the way economies and
impacting the way economies and societies work but big question is how
societies work but big question is how
societies work but big question is how does politics respond and this has come
does politics respond and this has come
does politics respond and this has come up to a number of big debates and issues
up to a number of big debates and issues
up to a number of big debates and issues and today we’re going to be talking
and today we’re going to be talking
and today we’re going to be talking about and one of those from the hilltops
about and one of those from the hilltops
about and one of those from the hilltops of ancient Greece where we saw the birth
of ancient Greece where we saw the birth
of ancient Greece where we saw the birth of Western democracy to the 17th century
of Western democracy to the 17th century
of Western democracy to the 17th century England where we saw the genesis of
England where we saw the genesis of
England where we saw the genesis of political parties from the birth of the
political parties from the birth of the
political parties from the birth of the United Nations after warring nations
United Nations after warring nations
United Nations after warring nations decided that they wanted to come
decided that they wanted to come
decided that they wanted to come together after the Second World War for
together after the Second World War for
together after the Second World War for peace and prosperity and to the streets
peace and prosperity and to the streets
peace and prosperity and to the streets and neighborhoods in East London and
and neighborhoods in East London and
and neighborhoods in East London and small cities like Regensburg politicians
small cities like Regensburg politicians
small cities like Regensburg politicians have led many changes and achieved great
have led many changes and achieved great
have led many changes and achieved great things by leading communities nations
things by leading communities nations
things by leading communities nations and world two of those people include
and world two of those people include
and world two of those people include some of my heroes first one is Nelson
some of my heroes first one is Nelson
some of my heroes first one is Nelson Mandela as we know somebody who enjoyed
Mandela as we know somebody who enjoyed
Mandela as we know somebody who enjoyed great sacrifices to fight against racism
great sacrifices to fight against racism
great sacrifices to fight against racism and apartheid in South Africa Corazon
and apartheid in South Africa Corazon
and apartheid in South Africa Corazon Aquino who in the Philippines fought a
Aquino who in the Philippines fought a
Aquino who in the Philippines fought a dictatorship using people power and
dictatorship using people power and
dictatorship using people power and overthrew that dictatorship and of
overthrew that dictatorship and of
overthrew that dictatorship and of course
course
course JFK who was a person who had the vision
JFK who was a person who had the vision
JFK who was a person who had the vision and audacity to say we’re going to land
and audacity to say we’re going to land
and audacity to say we’re going to land on the moon some of these politicians
on the moon some of these politicians
on the moon some of these politicians have inspired me yourself and many
have inspired me yourself and many
have inspired me yourself and many others around the world for our history
others around the world for our history
others around the world for our history but let’s look at things today it’s not
but let’s look at things today it’s not
but let’s look at things today it’s not as rosy here is a graph which shows some
as rosy here is a graph which shows some
as rosy here is a graph which shows some of the most trustworthy professions as
of the most trustworthy professions as
of the most trustworthy professions as you can guess doctors on your the top
you can guess doctors on your the top
you can guess doctors on your the top you will see that politicians are
you will see that politicians are
you will see that politicians are nowhere to be seen and only 21% of
nowhere to be seen and only 21% of
nowhere to be seen and only 21% of people
people
people in this survey said they trusted
in this survey said they trusted
in this survey said they trusted politicians another one which is real
politicians another one which is real
politicians another one which is real interesting this is more recent can you
interesting this is more recent can you
interesting this is more recent can you read out one in four bricks who were
read out one in four bricks who were
read out one in four bricks who were surveyed said that robots and artificial
surveyed said that robots and artificial
surveyed said that robots and artificial intelligence could be more trusted from
intelligence could be more trusted from
intelligence could be more trusted from politicians I mean think about 26% of
politicians I mean think about 26% of
politicians I mean think about 26% of people who have said they’d rather trust
people who have said they’d rather trust
people who have said they’d rather trust the machine then people have been
the machine then people have been
the machine then people have been elected to office and so we wanted to
elected to office and so we wanted to
elected to office and so we wanted to write really big in today and what’s
write really big in today and what’s
write really big in today and what’s really happening and take it a step
really happening and take it a step
really happening and take it a step further and ask if that’s the case could
further and ask if that’s the case could
further and ask if that’s the case could we replace politicians with robots and
we replace politicians with robots and
we replace politicians with robots and machines a funny questioning might seem
machines a funny questioning might seem
machines a funny questioning might seem however when you look at what’s happened
however when you look at what’s happened
however when you look at what’s happened in the labor market currently we’re
in the labor market currently we’re
in the labor market currently we’re already seeing this from the bricklayers
already seeing this from the bricklayers
already seeing this from the bricklayers to lawyers in law firms and also
to lawyers in law firms and also
to lawyers in law firms and also driverless cars we’re seeing massive
driverless cars we’re seeing massive
driverless cars we’re seeing massive changes the labor market so much so that
changes the labor market so much so that
changes the labor market so much so that a quarter of a million jobs in the UK in
a quarter of a million jobs in the UK in
a quarter of a million jobs in the UK in terms of the public sector are
terms of the public sector are
terms of the public sector are threatened to be lost in the next few
threatened to be lost in the next few
threatened to be lost in the next few years and in the u.s. all of six percent
years and in the u.s. all of six percent
years and in the u.s. all of six percent of all US jobs are looking to be
of all US jobs are looking to be
of all US jobs are looking to be automated by 2021 so be scared in a way
automated by 2021 so be scared in a way
automated by 2021 so be scared in a way because AI could be coming for you and
because AI could be coming for you and
because AI could be coming for you and no job is actually protected from that
no job is actually protected from that
no job is actually protected from that so in order to do this let’s go into
so in order to do this let’s go into
so in order to do this let’s go into this let’s let’s have a little debate so
this let’s let’s have a little debate so
this let’s let’s have a little debate so in order to see whether or not we can
in order to see whether or not we can
in order to see whether or not we can actually practically automate a
actually practically automate a
actually practically automate a politician let’s break it down into
politician let’s break it down into
politician let’s break it down into tasks that politicians are supposed to
tasks that politicians are supposed to
tasks that politicians are supposed to do first one is around reaching out to
do first one is around reaching out to
do first one is around reaching out to voters during election time second one
voters during election time second one
voters during election time second one is around addressing problems and the
is around addressing problems and the
is around addressing problems and the third is making really tough decisions
third is making really tough decisions
third is making really tough decisions on a daily basis first one reaching out
on a daily basis first one reaching out
on a daily basis first one reaching out to voters one of the biggest ways that
to voters one of the biggest ways that
to voters one of the biggest ways that current politicians reach out to voters
current politicians reach out to voters
current politicians reach out to voters to win elections is by knocking on doors
to win elections is by knocking on doors
to win elections is by knocking on doors going out to the streets and speaking to
going out to the streets and speaking to
going out to the streets and speaking to people directly and but what’s
people directly and but what’s
people directly and but what’s interesting is that if a person were to
interesting is that if a person were to
interesting is that if a person were to run for Prime Minister in the UK and to
run for Prime Minister in the UK and to
run for Prime Minister in the UK and to speak to 60 million of those citizens
speak to 60 million of those citizens
speak to 60 million of those citizens she would only have 2.4 seconds with
she would only have 2.4 seconds with
she would only have 2.4 seconds with each person in a whole five years not
each person in a whole five years not
each person in a whole five years not much time to really have it obey and
much time to really have it obey and
much time to really have it obey and find out what people want
find out what people want
find out what people want we compare that to algorithms which are
we compare that to algorithms which are
we compare that to algorithms which are capable of amassing huge amounts of data
capable of amassing huge amounts of data
capable of amassing huge amounts of data on a regular basis real-time which is
on a regular basis real-time which is
on a regular basis real-time which is able to make a pattern analysis and so
able to make a pattern analysis and so
able to make a pattern analysis and so forth and so much so that Facebook can
forth and so much so that Facebook can
forth and so much so that Facebook can know who you’re going to vote for based
know who you’re going to vote for based
know who you’re going to vote for based on your likes
on your likes
on your likes so don’t if you know this but actually
so don’t if you know this but actually
so don’t if you know this but actually if you’re a Bob Marley fan any Bob
if you’re a Bob Marley fan any Bob
if you’re a Bob Marley fan any Bob Marley fans all mighty fans if you if
Marley fans all mighty fans if you if
Marley fans all mighty fans if you if you like Bob Marley on Facebook you’re
you like Bob Marley on Facebook you’re
you like Bob Marley on Facebook you’re more likely to be a Democrat in the US
more likely to be a Democrat in the US
more likely to be a Democrat in the US any any country music fans well if you
any any country music fans well if you
any any country music fans well if you vote if you like country music you’re
vote if you like country music you’re
vote if you like country music you’re more likely to be a Republican and
more likely to be a Republican and
more likely to be a Republican and what’s really fascinating is that our
what’s really fascinating is that our
what’s really fascinating is that our company is currently doing using this
company is currently doing using this
company is currently doing using this information on social media to create
information on social media to create
information on social media to create advertisements to every single person
advertisements to every single person
advertisements to every single person based on the Facebook Likes and this
based on the Facebook Likes and this
based on the Facebook Likes and this happened in the US which helped and the
happened in the US which helped and the
happened in the US which helped and the current president win his election and
current president win his election and
current president win his election and so already we’re seeing artificial
so already we’re seeing artificial
so already we’re seeing artificial intelligence play a huge role in winning
intelligence play a huge role in winning
intelligence play a huge role in winning elections the question is could it
elections the question is could it
elections the question is could it automate a politician’s task of doing so
automate a politician’s task of doing so
automate a politician’s task of doing so yes it can what for me is so amazing
yes it can what for me is so amazing
yes it can what for me is so amazing though is that we’re already seeing the
though is that we’re already seeing the
though is that we’re already seeing the blurring of lines between technology and
blurring of lines between technology and
blurring of lines between technology and politics and this is Modi from India
politics and this is Modi from India
politics and this is Modi from India actually if you look closely you’ll
actually if you look closely you’ll
actually if you look closely you’ll realize actually it’s not Modi this is a
realize actually it’s not Modi this is a
realize actually it’s not Modi this is a hologram of Modi so Narenda Modi ran to
hologram of Modi so Narenda Modi ran to
hologram of Modi so Narenda Modi ran to be the Prime Minister of India and he
be the Prime Minister of India and he
be the Prime Minister of India and he actually had Holograms in multiple
actually had Holograms in multiple
actually had Holograms in multiple different places across the country
different places across the country
different places across the country speaking to tens of thousands of voters
speaking to tens of thousands of voters
speaking to tens of thousands of voters who are effectively clapping and
who are effectively clapping and
who are effectively clapping and cheering for a figment of their
cheering for a figment of their
cheering for a figment of their imagination
imagination
imagination literally a hologram imagine this but
literally a hologram imagine this but
literally a hologram imagine this but actually replacing a human being with an
actually replacing a human being with an
actually replacing a human being with an AI who can look however you want it
AI who can look however you want it
AI who can look however you want it could look like yourself it could look
could look like yourself it could look
could look like yourself it could look like someone you really fancy it could
like someone you really fancy it could
like someone you really fancy it could like to be the person of your dreams
like to be the person of your dreams
like to be the person of your dreams effectively trying to use the
effectively trying to use the
effectively trying to use the information that they have on big data
information that they have on big data
information that they have on big data and with a fictional and character
and with a fictional and character
and with a fictional and character alright let’s go into the second one
alright let’s go into the second one
alright let’s go into the second one second tasks that politicians are
second tasks that politicians are
second tasks that politicians are looking to do are around addressing
looking to do are around addressing
looking to do are around addressing problems and so in the UK politicians
problems and so in the UK politicians
problems and so in the UK politicians run surgeries and where they affect your
run surgeries and where they affect your
run surgeries and where they affect your dress problems think of it like a doctor
dress problems think of it like a doctor
dress problems think of it like a doctor but instead of going to see a doctor and
but instead of going to see a doctor and
but instead of going to see a doctor and to talk about you know and it
to talk about you know and it
to talk about you know and it or a injury you’ve had you actually go
or a injury you’ve had you actually go
or a injury you’ve had you actually go to talked about the fact that there’s a
to talked about the fact that there’s a
to talked about the fact that there’s a lack of school places for your kids or
lack of school places for your kids or
lack of school places for your kids or the fact that crime has gone up or the
the fact that crime has gone up or the
the fact that crime has gone up or the fact that you want something to be done
fact that you want something to be done
fact that you want something to be done to get benefits because you’re really
to get benefits because you’re really
to get benefits because you’re really struggling question can artificial
struggling question can artificial
struggling question can artificial intelligence do that job well yes you
intelligence do that job well yes you
intelligence do that job well yes you know what it is
know what it is
know what it is and you’ve got also smartphones all in
and you’ve got also smartphones all in
and you’ve got also smartphones all in your pockets every day millions of
your pockets every day millions of
your pockets every day millions of people speak to home devices smart
people speak to home devices smart
people speak to home devices smart speakers smart phones asking echo and
speakers smart phones asking echo and
speakers smart phones asking echo and Siri can you tell me what the weather
Siri can you tell me what the weather
Siri can you tell me what the weather like which finally is looking really
like which finally is looking really
like which finally is looking really wonderful here or can you order flowers
wonderful here or can you order flowers
wonderful here or can you order flowers because I forgot this Valentine’s Day
because I forgot this Valentine’s Day
because I forgot this Valentine’s Day and my girlfriend’s going to be very
and my girlfriend’s going to be very
and my girlfriend’s going to be very angry and the next day instead of that
angry and the next day instead of that
angry and the next day instead of that why don’t we repurpose that and say
why don’t we repurpose that and say
why don’t we repurpose that and say let’s have a type of device where you
let’s have a type of device where you
let’s have a type of device where you speak to it about your political issues
speak to it about your political issues
speak to it about your political issues around as I said education unemployment
around as I said education unemployment
around as I said education unemployment welfare and you could effectively use
welfare and you could effectively use
welfare and you could effectively use the information and data and devices
the information and data and devices
the information and data and devices that are available today and repackage
that are available today and repackage
that are available today and repackage that to be a politician AI I’m going to
that to be a politician AI I’m going to
that to be a politician AI I’m going to give you a bonus one I don’t if you can
give you a bonus one I don’t if you can
give you a bonus one I don’t if you can see this but one thing I realized after
see this but one thing I realized after
see this but one thing I realized after working with politicians and for a very
working with politicians and for a very
working with politicians and for a very long time is that politicians love to
long time is that politicians love to
long time is that politicians love to open up things and they particularly
open up things and they particularly
open up things and they particularly like to cut ribbons to open up new
like to cut ribbons to open up new
like to cut ribbons to open up new buildings so here’s a bonus task here is
buildings so here’s a bonus task here is
buildings so here’s a bonus task here is a robot cutting ribbon and a politician
a robot cutting ribbon and a politician
a robot cutting ribbon and a politician next to the robot really worried that
next to the robot really worried that
next to the robot really worried that he’s going to take a job I’m going to
he’s going to take a job I’m going to
he’s going to take a job I’m going to end on one other example which is a bit
end on one other example which is a bit
end on one other example which is a bit more tougher so the first three examples
more tougher so the first three examples
more tougher so the first three examples were kind of examples of things which
were kind of examples of things which
were kind of examples of things which are based on big data and analyzing but
are based on big data and analyzing but
are based on big data and analyzing but actually making decisions that’s a
actually making decisions that’s a
actually making decisions that’s a totally different perspective in
totally different perspective in
totally different perspective in question and we already know that a is
question and we already know that a is
question and we already know that a is capable of beating chess Grand Champions
capable of beating chess Grand Champions
capable of beating chess Grand Champions and we also know that AI is able to beat
and we also know that AI is able to beat
and we also know that AI is able to beat go champions and what’s even more
go champions and what’s even more
go champions and what’s even more fascinating is the fact that these
fascinating is the fact that these
fascinating is the fact that these algorithms are being used in this case
algorithms are being used in this case
algorithms are being used in this case in a financial sector for venture
in a financial sector for venture
in a financial sector for venture capital firm so eventually capital firm
capital firm so eventually capital firm
capital firm so eventually capital firm and this is a true story appointed an
and this is a true story appointed an
and this is a true story appointed an algorithm on its board so it had voting
algorithm on its board so it had voting
algorithm on its board so it had voting rights
rights
rights it made decisions
it made decisions
it made decisions and they trusted that AI with all of its
and they trusted that AI with all of its
and they trusted that AI with all of its financial capabilities and to make
financial capabilities and to make
financial capabilities and to make choices about whether or not to invest
choices about whether or not to invest
choices about whether or not to invest in something we’re talking about a
in something we’re talking about a
in something we’re talking about a company who is putting trust and so how
company who is putting trust and so how
company who is putting trust and so how about instead of looking at financial
about instead of looking at financial
about instead of looking at financial issues why do we think about political
issues why do we think about political
issues why do we think about political issues again a very specific example one
issues again a very specific example one
issues again a very specific example one of the big challenges that politicians
of the big challenges that politicians
of the big challenges that politicians have is around what to cut in terms of
have is around what to cut in terms of
have is around what to cut in terms of services if you know funds are low or
services if you know funds are low or
services if you know funds are low or which policies to propose and whether it
which policies to propose and whether it
which policies to propose and whether it be in health care or in foreign policy
be in health care or in foreign policy
be in health care or in foreign policy and what you could effectively do is use
and what you could effectively do is use
and what you could effectively do is use algorithms and artificial intelligence
algorithms and artificial intelligence
algorithms and artificial intelligence to ask a different type of question
to ask a different type of question
to ask a different type of question which is if we do this policy what is
which is if we do this policy what is
which is if we do this policy what is the likely outcome if we do the other
the likely outcome if we do the other
the likely outcome if we do the other policy what is the other likely outcome
policy what is the other likely outcome
policy what is the other likely outcome and therefore player out for modeling
and therefore player out for modeling
and therefore player out for modeling whether or not we can trust an algorithm
whether or not we can trust an algorithm
whether or not we can trust an algorithm to be part of the cabinet within a
to be part of the cabinet within a
to be part of the cabinet within a ministerial team is another question but
ministerial team is another question but
ministerial team is another question but I’ll leave it to you what’s fascinating
I’ll leave it to you what’s fascinating
I’ll leave it to you what’s fascinating is the fact that so much change is
is the fact that so much change is
is the fact that so much change is happening before our eyes and we don’t
happening before our eyes and we don’t
happening before our eyes and we don’t even realize it’s actually happening
even realize it’s actually happening
even realize it’s actually happening this is not science fiction
this is not science fiction
this is not science fiction last week my friend is my friend Julia
last week my friend is my friend Julia
last week my friend is my friend Julia and I was on Instagram last week
and I was on Instagram last week
and I was on Instagram last week scrolling through trying to write this
scrolling through trying to write this
scrolling through trying to write this TED talk and I see a photo of her and
TED talk and I see a photo of her and
TED talk and I see a photo of her and it’s actually her connected to a
it’s actually her connected to a
it’s actually her connected to a computer so she’s connected a computer
computer so she’s connected a computer
computer so she’s connected a computer and she’s able to interact with the
and she’s able to interact with the
and she’s able to interact with the computer and so forth and this is
computer and so forth and this is
computer and so forth and this is already happening today so this is not
already happening today so this is not
already happening today so this is not science fiction I mean imagine you can
science fiction I mean imagine you can
science fiction I mean imagine you can almost have super politicians which are
almost have super politicians which are
almost have super politicians which are connected to all of the world’s data and
connected to all of the world’s data and
connected to all of the world’s data and able to make decisions based on
able to make decisions based on
able to make decisions based on everything that you’ve posted on
everything that you’ve posted on
everything that you’ve posted on Facebook which could be quite worrying
Facebook which could be quite worrying
Facebook which could be quite worrying and so yeah the point is here is that
and so yeah the point is here is that
and so yeah the point is here is that this this is happening and it’s a big
this this is happening and it’s a big
this this is happening and it’s a big question about what we want to do about
question about what we want to do about
question about what we want to do about it
it
it so those are four tasks reaching out to
so those are four tasks reaching out to
so those are four tasks reaching out to voters addressing problems cutting
voters addressing problems cutting
voters addressing problems cutting ribbons decision making these are four
ribbons decision making these are four
ribbons decision making these are four examples of tasks which politicians are
examples of tasks which politicians are
examples of tasks which politicians are and doing on a regular basis which can
and doing on a regular basis which can
and doing on a regular basis which can be automated but when it comes to
be automated but when it comes to
be automated but when it comes to automation I’m gonna like to end on this
automation I’m gonna like to end on this
automation I’m gonna like to end on this the big question is not necessarily
the big question is not necessarily
the big question is not necessarily whether or not it’s possible it’s
whether or not it’s possible it’s
whether or not it’s possible it’s whether or not it’s ethically something
whether or not it’s ethically something
whether or not it’s ethically something that as humanity you want to do so when
that as humanity you want to do so when
that as humanity you want to do so when you talk about the automation of jobs
you talk about the automation of jobs
you talk about the automation of jobs like Brickley
like Brickley
like Brickley is like lawyers like doctors like
is like lawyers like doctors like
is like lawyers like doctors like drivers and in this case politicians do
drivers and in this case politicians do
drivers and in this case politicians do we need to take a step back and really
we need to take a step back and really
we need to take a step back and really think about the consequences for
think about the consequences for
think about the consequences for Humanity based on this stuff or should
Humanity based on this stuff or should
Humanity based on this stuff or should we actually embrace it and take the
we actually embrace it and take the
we actually embrace it and take the opportunity and say this is great we are
opportunity and say this is great we are
opportunity and say this is great we are seeing improvements of society economies
seeing improvements of society economies
seeing improvements of society economies and politics because of this
and politics because of this
and politics because of this intermingling between technology and
intermingling between technology and
intermingling between technology and humanity if I guess is probably one of
humanity if I guess is probably one of
humanity if I guess is probably one of the big questions of today and there are
the big questions of today and there are
the big questions of today and there are many smart minds trying to answer that
many smart minds trying to answer that
many smart minds trying to answer that question by think for this case it’s
question by think for this case it’s
question by think for this case it’s going to take all of us in business
going to take all of us in business
going to take all of us in business government civil society people like
government civil society people like
government civil society people like yourselves to really answer this
yourselves to really answer this
yourselves to really answer this question as to whether or not we want to
question as to whether or not we want to
question as to whether or not we want to to see this kind of world and to also
to see this kind of world and to also
to see this kind of world and to also see the fact that when you augment
see the fact that when you augment
see the fact that when you augment Humanity and Technology together you
Humanity and Technology together you
Humanity and Technology together you could probably see some amazing things
could probably see some amazing things
could probably see some amazing things and so yeah I don’t know if you will
and so yeah I don’t know if you will
and so yeah I don’t know if you will ever vote for a politician AI but be
ever vote for a politician AI but be
ever vote for a politician AI but be warned
warned
warned [Music]
[Music]
[Music] [Applause]
”
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