we only talk about artificial intelligence and there’s no great
intelligence and there’s no great
intelligence and there’s no great surprise there because it seems that the
surprise there because it seems that the
surprise there because it seems that the whole world is currently talking about
whole world is currently talking about
whole world is currently talking about artificial intelligence in fact we are
artificial intelligence in fact we are
artificial intelligence in fact we are rather saturated with movies and books
rather saturated with movies and books
rather saturated with movies and books and new stories and famous people all
and new stories and famous people all
and new stories and famous people all giving us a view about this future of AI
giving us a view about this future of AI
giving us a view about this future of AI and sentiment in this area is quite
and sentiment in this area is quite
and sentiment in this area is quite mixed for example spoiler alert
mixed for example spoiler alert
mixed for example spoiler alert in the film ex machina an artificially
in the film ex machina an artificially
in the film ex machina an artificially intelligent robot goes bad and kills
intelligent robot goes bad and kills
intelligent robot goes bad and kills people and in the film iRobot an
people and in the film iRobot an
people and in the film iRobot an artificially intelligent robot goes bad
artificially intelligent robot goes bad
artificially intelligent robot goes bad and kills people and in the new film
and kills people and in the new film
and kills people and in the new film Morgan an artificially intelligent robot
Morgan an artificially intelligent robot
Morgan an artificially intelligent robot child goes bad and kills people on the
child goes bad and kills people on the
child goes bad and kills people on the other hand brilliant people such as Elon
other hand brilliant people such as Elon
other hand brilliant people such as Elon Musk and Stephen Hawking having quite
Musk and Stephen Hawking having quite
Musk and Stephen Hawking having quite vocal recently in their views on a world
vocal recently in their views on a world
vocal recently in their views on a world in future in which artificial
in future in which artificial
in future in which artificial intelligence goes bad and kills
intelligence goes bad and kills
intelligence goes bad and kills everybody so not entirely positive I’m
everybody so not entirely positive I’m
everybody so not entirely positive I’m being slightly facetious obviously the
being slightly facetious obviously the
being slightly facetious obviously the films are good fun and when the likes of
films are good fun and when the likes of
films are good fun and when the likes of Elon Musk and Stephen Hawking are
Elon Musk and Stephen Hawking are
Elon Musk and Stephen Hawking are speaking then the likes of me need to be
speaking then the likes of me need to be
speaking then the likes of me need to be paying attention but they are all
paying attention but they are all
paying attention but they are all talking about a future in which AI has
talking about a future in which AI has
talking about a future in which AI has become self-aware possessing its own
become self-aware possessing its own
become self-aware possessing its own motive and drive even its own
motive and drive even its own
motive and drive even its own consciousness and that’s not where we
consciousness and that’s not where we
consciousness and that’s not where we are right now but is it likely well the
are right now but is it likely well the
are right now but is it likely well the scientists that NASA’s Jet Propulsion
scientists that NASA’s Jet Propulsion
scientists that NASA’s Jet Propulsion Laboratory recently stated that soon
Laboratory recently stated that soon
Laboratory recently stated that soon there will be no technological barrier
there will be no technological barrier
there will be no technological barrier preventing us from creating machines
preventing us from creating machines
preventing us from creating machines that have their own consciousness and he
that have their own consciousness and he
that have their own consciousness and he might be right maybe technology is not
might be right maybe technology is not
might be right maybe technology is not the barrier here maybe the barrier here
the barrier here maybe the barrier here
the barrier here maybe the barrier here is actually our understanding of what
is actually our understanding of what
is actually our understanding of what consciousness even is because we know so
consciousness even is because we know so
consciousness even is because we know so little about it professor Margaret
little about it professor Margaret
little about it professor Margaret Bowden is the head of cognitive science
Bowden is the head of cognitive science
Bowden is the head of cognitive science at Sussex University near I live in
at Sussex University near I live in
at Sussex University near I live in England she’s an amazing character in
England she’s an amazing character in
England she’s an amazing character in the whole field of cognition and
the whole field of cognition and
the whole field of cognition and intelligence creativity the mind she
intelligence creativity the mind she
intelligence creativity the mind she said quite recently that we know so
said quite recently that we know so
said quite recently that we know so little about consciousness but it’s not
little about consciousness but it’s not
little about consciousness but it’s not that we can’t answer the big questions
that we can’t answer the big questions
that we can’t answer the big questions we don’t even know
we don’t even know
we don’t even know what questions to ask so maybe we’re not
what questions to ask so maybe we’re not
what questions to ask so maybe we’re not quite yet ready to replicate this
quite yet ready to replicate this
quite yet ready to replicate this process artificially a better question
process artificially a better question
process artificially a better question might be does that even matter I’m sure
might be does that even matter I’m sure
might be does that even matter I’m sure we’re all aware of the Turing test the
we’re all aware of the Turing test the
we’re all aware of the Turing test the Turing test we’re chat BOTS have
Turing test we’re chat BOTS have
Turing test we’re chat BOTS have conversations with humans and in so
conversations with humans and in so
conversations with humans and in so doing try to convince those humans that
doing try to convince those humans that
doing try to convince those humans that they’re actually having conversations
they’re actually having conversations
they’re actually having conversations with other humans thereby showing some
with other humans thereby showing some
with other humans thereby showing some form of intelligence and recent times
form of intelligence and recent times
form of intelligence and recent times depending on what you read we’ve either
depending on what you read we’ve either
depending on what you read we’ve either come close to or have actually passed
come close to or have actually passed
come close to or have actually passed the Turing test and but no one would
the Turing test and but no one would
the Turing test and but no one would think that these chat bots are actually
think that these chat bots are actually
think that these chat bots are actually intelligent they just fool us into
intelligent they just fool us into
intelligent they just fool us into thinking they are and that’s rather the
thinking they are and that’s rather the
thinking they are and that’s rather the point at the time when a machine behaves
point at the time when a machine behaves
point at the time when a machine behaves as though it’s intelligent and we behave
as though it’s intelligent and we behave
as though it’s intelligent and we behave towards it as though it’s intelligent
towards it as though it’s intelligent
towards it as though it’s intelligent does it really matter whether it’s
does it really matter whether it’s
does it really matter whether it’s intelligent or not in terms of the
intelligent or not in terms of the
intelligent or not in terms of the impact that that can have on our lives
impact that that can have on our lives
impact that that can have on our lives and a eye is having a massive impact on
and a eye is having a massive impact on
and a eye is having a massive impact on the world right now and some of that
the world right now and some of that
the world right now and some of that impact is profoundly beneficial to the
impact is profoundly beneficial to the
impact is profoundly beneficial to the whole world for example in the area of
whole world for example in the area of
whole world for example in the area of Health IBM have been pushing Watson and
Health IBM have been pushing Watson and
Health IBM have been pushing Watson and Watson health and it’s already saving
Watson health and it’s already saving
Watson health and it’s already saving lives by diagnosing rare forms of
lives by diagnosing rare forms of
lives by diagnosing rare forms of leukemia in London in England Moorfields
leukemia in London in England Moorfields
leukemia in London in England Moorfields Eye Hospital which is an amazing place
Eye Hospital which is an amazing place
Eye Hospital which is an amazing place have partnered with deep mind from
have partnered with deep mind from
have partnered with deep mind from Google in order to analyze huge datasets
Google in order to analyze huge datasets
Google in order to analyze huge datasets from AI scans and find and prevent the
from AI scans and find and prevent the
from AI scans and find and prevent the illnesses that cause blindness this is
illnesses that cause blindness this is
illnesses that cause blindness this is fantastic stuff and the field of
fantastic stuff and the field of
fantastic stuff and the field of Education where we’ve been lumbered
Education where we’ve been lumbered
Education where we’ve been lumbered since day one with the idea that in
since day one with the idea that in
since day one with the idea that in order to educate people we need to get
order to educate people we need to get
order to educate people we need to get large groups of people together in the
large groups of people together in the
large groups of people together in the same place at the same time and tell
same place at the same time and tell
same place at the same time and tell them the same thing in the same way does
them the same thing in the same way does
them the same thing in the same way does it have to be this way how easy is that
it have to be this way how easy is that
it have to be this way how easy is that to do in large areas where it’s very
to do in large areas where it’s very
to do in large areas where it’s very difficult to get those people together
difficult to get those people together
difficult to get those people together and they have very different
and they have very different
and they have very different capabilities and a company called I am
capabilities and a company called I am
capabilities and a company called I am Lango this is their image they are
Lango this is their image they are
Lango this is their image they are working in Africa with a system with a
working in Africa with a system with a
working in Africa with a system with a virtual tutor and and an adaptive
virtual tutor and and an adaptive
virtual tutor and and an adaptive learning system they can reach these
learning system they can reach these
learning system they can reach these children one-to-one and offer them
children one-to-one and offer them
children one-to-one and offer them through the virtual tutor a personal
through the virtual tutor a personal
through the virtual tutor a personal tuition one-to-one personal to ition
tuition one-to-one personal to ition
tuition one-to-one personal to ition with a system which is adapting to the
with a system which is adapting to the
with a system which is adapting to the individual learning capabilities of the
individual learning capabilities of the
individual learning capabilities of the child
child
child is amazing potentially at scale it
is amazing potentially at scale it
is amazing potentially at scale it offers us the opportunity to raise the
offers us the opportunity to raise the
offers us the opportunity to raise the education level of an entire region
education level of an entire region
education level of an entire region through AI and we’re only here
through AI and we’re only here
through AI and we’re only here scratching the surface of the benefits
scratching the surface of the benefits
scratching the surface of the benefits that I can deliver on the flip side of
that I can deliver on the flip side of
that I can deliver on the flip side of this are the fears and anxieties for a
this are the fears and anxieties for a
this are the fears and anxieties for a world of AI right now those fears and
world of AI right now those fears and
world of AI right now those fears and anxieties tend to focus on the idea that
anxieties tend to focus on the idea that
anxieties tend to focus on the idea that artificial intelligence will automate us
artificial intelligence will automate us
artificial intelligence will automate us out of our places of work this is
out of our places of work this is
out of our places of work this is actually not a new film it’s quite old
actually not a new film it’s quite old
actually not a new film it’s quite old this is an Amazon warehouse being run by
this is an Amazon warehouse being run by
this is an Amazon warehouse being run by robots in being an old film that
robots in being an old film that
robots in being an old film that actually shows us this is not just a
actually shows us this is not just a
actually shows us this is not just a fear this is reality only the scale of
fear this is reality only the scale of
fear this is reality only the scale of this situation is really a debating
this situation is really a debating
this situation is really a debating point and there have been plenty of
point and there have been plenty of
point and there have been plenty of studies on this subject
studies on this subject
studies on this subject recently a Vox article quoted Morgan
recently a Vox article quoted Morgan
recently a Vox article quoted Morgan Stanley as suggesting that in the States
Stanley as suggesting that in the States
Stanley as suggesting that in the States the freight industry will be able to
the freight industry will be able to
the freight industry will be able to save over 160 billion dollars a year
save over 160 billion dollars a year
save over 160 billion dollars a year through the use of autonomous
through the use of autonomous
through the use of autonomous technologies and over half of that over
technologies and over half of that over
technologies and over half of that over 80 billion dollars of savings will come
80 billion dollars of savings will come
80 billion dollars of savings will come in the forms of staff reductions an
in the forms of staff reductions an
in the forms of staff reductions an oft-quoted study from 2013 by Carl Frei
oft-quoted study from 2013 by Carl Frei
oft-quoted study from 2013 by Carl Frei Michael Osborne suggested that in the
Michael Osborne suggested that in the
Michael Osborne suggested that in the states also 47% of people with jobs in
states also 47% of people with jobs in
states also 47% of people with jobs in the States have jobs which are at risk
the States have jobs which are at risk
the States have jobs which are at risk of immediate potential automation 47%
of immediate potential automation 47%
of immediate potential automation 47% represents a vast number of individual
represents a vast number of individual
represents a vast number of individual human beings a far less intelligent man
human beings a far less intelligent man
human beings a far less intelligent man stated the blindingly obvious recently
stated the blindingly obvious recently
stated the blindingly obvious recently when he pointed out that we face a time
when he pointed out that we face a time
when he pointed out that we face a time of major upheaval so the companies that
of major upheaval so the companies that
of major upheaval so the companies that are creating these technologies how are
are creating these technologies how are
are creating these technologies how are they facing up to the fears and
they facing up to the fears and
they facing up to the fears and anxieties surrounding the technologies
anxieties surrounding the technologies
anxieties surrounding the technologies that they’re working on well actually
that they’re working on well actually
that they’re working on well actually it’s quite a positive story so recently
it’s quite a positive story so recently
it’s quite a positive story so recently IBM Microsoft Google Facebook and Amazon
IBM Microsoft Google Facebook and Amazon
IBM Microsoft Google Facebook and Amazon created something of an alliance to
created something of an alliance to
created something of an alliance to tackle some of these issues they called
tackle some of these issues they called
tackle some of these issues they called it the partnership on artificial
it the partnership on artificial
it the partnership on artificial intelligence for the benefit of people
intelligence for the benefit of people
intelligence for the benefit of people which is a nice title if not
which is a nice title if not
which is a nice title if not particularly caching and they’re looking
particularly caching and they’re looking
particularly caching and they’re looking to tackle these issues of ethics of
to tackle these issues of ethics of
to tackle these issues of ethics of robustness of trust of security that AI
robustness of trust of security that AI
robustness of trust of security that AI gives rise to Elon Musk who we mentioned
gives rise to Elon Musk who we mentioned
gives rise to Elon Musk who we mentioned earlier founded open AI
earlier founded open AI
earlier founded open AI or the billion dollars in order to try
or the billion dollars in order to try
or the billion dollars in order to try and prevent this incredible technology
and prevent this incredible technology
and prevent this incredible technology from falling under the control of
from falling under the control of
from falling under the control of individual powerful people they have a
individual powerful people they have a
individual powerful people they have a mantra to develop digital intelligence
mantra to develop digital intelligence
mantra to develop digital intelligence in the ways most likely to benefit
in the ways most likely to benefit
in the ways most likely to benefit humanity as a whole which is a wonderful
humanity as a whole which is a wonderful
humanity as a whole which is a wonderful aspiration to have and then IBM
aspiration to have and then IBM
aspiration to have and then IBM sponsoring the XPrize to offer financial
sponsoring the XPrize to offer financial
sponsoring the XPrize to offer financial rewards to startups who can partner with
rewards to startups who can partner with
rewards to startups who can partner with AI to confront the world’s grandest
AI to confront the world’s grandest
AI to confront the world’s grandest challenges so the tech giants have our
challenges so the tech giants have our
challenges so the tech giants have our best interests at heart and this I think
best interests at heart and this I think
best interests at heart and this I think we can all agree is reassuring but what
we can all agree is reassuring but what
we can all agree is reassuring but what does it mean for the rest of us are we
does it mean for the rest of us are we
does it mean for the rest of us are we all the population as a whole are we
all the population as a whole are we
all the population as a whole are we just sitting watching and waiting to see
just sitting watching and waiting to see
just sitting watching and waiting to see what world is created for us and that we
what world is created for us and that we
what world is created for us and that we will then try to work out how to live in
will then try to work out how to live in
will then try to work out how to live in or can we proactively prepare for this
or can we proactively prepare for this
or can we proactively prepare for this world set the scene for a world that we
world set the scene for a world that we
world set the scene for a world that we have a rolling that we have a placing I
have a rolling that we have a placing I
have a rolling that we have a placing I think we can and the reason that we can
think we can and the reason that we can
think we can and the reason that we can is because although this revolution is
is because although this revolution is
is because although this revolution is being brought to us through technology
being brought to us through technology
being brought to us through technology the challenges we face in preparing for
the challenges we face in preparing for
the challenges we face in preparing for that are entirely human challenges with
that are entirely human challenges with
that are entirely human challenges with entirely human solutions and there are
entirely human solutions and there are
entirely human solutions and there are three things that I think we need to
three things that I think we need to
three things that I think we need to focus on the first is education you’ll
focus on the first is education you’ll
focus on the first is education you’ll be glad to know that I don’t have any
be glad to know that I don’t have any
be glad to know that I don’t have any children and I suspect a number of you
children and I suspect a number of you
children and I suspect a number of you will either now or in the future are
will either now or in the future are
will either now or in the future are those people learning what they need to
those people learning what they need to
those people learning what they need to learn in order to have an active role to
learn in order to have an active role to
learn in order to have an active role to play in the future which is being
play in the future which is being
play in the future which is being created for them we clearly need to
created for them we clearly need to
created for them we clearly need to create a curriculum syllabus that trains
create a curriculum syllabus that trains
create a curriculum syllabus that trains people in the skills and the attributes
people in the skills and the attributes
people in the skills and the attributes they need to work on or with these
they need to work on or with these
they need to work on or with these autonomous technologies to be able to be
autonomous technologies to be able to be
autonomous technologies to be able to be complementary to them rather than in
complementary to them rather than in
complementary to them rather than in conflict with them knowing what we know
conflict with them knowing what we know
conflict with them knowing what we know about the professions which are at risk
about the professions which are at risk
about the professions which are at risk of immediate automation means we can
of immediate automation means we can
of immediate automation means we can prepare people to have successful and
prepare people to have successful and
prepare people to have successful and sustainable careers in areas which are
sustainable careers in areas which are
sustainable careers in areas which are far at less risk not doing so means we
far at less risk not doing so means we
far at less risk not doing so means we risk creating generations of people who
risk creating generations of people who
risk creating generations of people who upon leaving our educational systems are
upon leaving our educational systems are
upon leaving our educational systems are in
in
in immediately lost this involves our
immediately lost this involves our
immediately lost this involves our Boards of Education our schools our
Boards of Education our schools our
Boards of Education our schools our colleges our government agencies which
colleges our government agencies which
colleges our government agencies which are all bodies we have a voice in that
are all bodies we have a voice in that
are all bodies we have a voice in that we must use secondly dialogue a
we must use secondly dialogue a
we must use secondly dialogue a conversation it would be nice to think
conversation it would be nice to think
conversation it would be nice to think that the companies who are creating the
that the companies who are creating the
that the companies who are creating the technologies which will revolutionize
technologies which will revolutionize
technologies which will revolutionize the world would take into account the
the world would take into account the
the world would take into account the thoughts and feelings of the people
thoughts and feelings of the people
thoughts and feelings of the people whose world it is that is being
whose world it is that is being
whose world it is that is being revolutionized that might seem like
revolutionized that might seem like
revolutionized that might seem like something of a pipe dream there is
something of a pipe dream there is
something of a pipe dream there is actually a recent precedent in this area
actually a recent precedent in this area
actually a recent precedent in this area albeit on a small scale with the
albeit on a small scale with the
albeit on a small scale with the technology which we know is already
technology which we know is already
technology which we know is already transforming the world that of
transforming the world that of
transforming the world that of autonomous cars self-driving vehicles
autonomous cars self-driving vehicles
autonomous cars self-driving vehicles every major motor automotive company is
every major motor automotive company is
every major motor automotive company is currently engaged in a program of work
currently engaged in a program of work
currently engaged in a program of work on autonomous driving Volvo is one of
on autonomous driving Volvo is one of
on autonomous driving Volvo is one of those Volvo actually were keen to take
those Volvo actually were keen to take
those Volvo actually were keen to take onboard the hopes aspirations and
onboard the hopes aspirations and
onboard the hopes aspirations and opinions and anxieties of the people for
opinions and anxieties of the people for
opinions and anxieties of the people for whom they are creating the vehicles and
whom they are creating the vehicles and
whom they are creating the vehicles and use that to shape the program of work
use that to shape the program of work
use that to shape the program of work they opened a channel to allow people to
they opened a channel to allow people to
they opened a channel to allow people to answer a string of situational questions
answer a string of situational questions
answer a string of situational questions such as do autonomous cars result in the
such as do autonomous cars result in the
such as do autonomous cars result in the end of traffic accidents to publish the
end of traffic accidents to publish the
end of traffic accidents to publish the figures so that we can all be aware of
figures so that we can all be aware of
figures so that we can all be aware of what opinions are in this area and then
what opinions are in this area and then
what opinions are in this area and then to take the data set that they create in
to take the data set that they create in
to take the data set that they create in Word and allow it to shape the work that
Word and allow it to shape the work that
Word and allow it to shape the work that they’re doing now the stance that we’ve
they’re doing now the stance that we’ve
they’re doing now the stance that we’ve seen being taken by the major
seen being taken by the major
seen being taken by the major organizations suggests that this is not
organizations suggests that this is not
organizations suggests that this is not something they would shy away from I
something they would shy away from I
something they would shy away from I think they would welcome this the third
think they would welcome this the third
think they would welcome this the third challenge we face is by far the biggest
challenge we face is by far the biggest
challenge we face is by far the biggest on a massive scale and it is the problem
on a massive scale and it is the problem
on a massive scale and it is the problem of the distribution of resources we have
of the distribution of resources we have
of the distribution of resources we have created a world over thousands of years
created a world over thousands of years
created a world over thousands of years where resources are distributed based on
where resources are distributed based on
where resources are distributed based on work that gets done so you work you
work that gets done so you work you
work that gets done so you work you therefore have access to the resources
therefore have access to the resources
therefore have access to the resources that you need what happens when people
that you need what happens when people
that you need what happens when people stop working currently we have welfare
stop working currently we have welfare
stop working currently we have welfare schemes benefit schemes for those people
schemes benefit schemes for those people
schemes benefit schemes for those people because they are the exception but what
because they are the exception but what
because they are the exception but what happens when the exception becomes the
happens when the exception becomes the
happens when the exception becomes the rule now Stephen Hawking a very clever
rule now Stephen Hawking a very clever
rule now Stephen Hawking a very clever man obviously who we mentioned earlier
man obviously who we mentioned earlier
man obviously who we mentioned earlier he put this quite succinctly when he
he put this quite succinctly when he
he put this quite succinctly when he said recently and I’m paraphrasing now
said recently and I’m paraphrasing now
said recently and I’m paraphrasing now in a world where machines
in a world where machines
in a world where machines uess what we need the outcome will
uess what we need the outcome will
uess what we need the outcome will depend on how things are distributed we
depend on how things are distributed we
depend on how things are distributed we can all live lives of luxury if the
can all live lives of luxury if the
can all live lives of luxury if the machine produced wealth is shared or the
machine produced wealth is shared or the
machine produced wealth is shared or the majority can live lives that are
majority can live lives that are
majority can live lives that are miserably poor if the machine owners
miserably poor if the machine owners
miserably poor if the machine owners successfully lobby against the
successfully lobby against the
successfully lobby against the redistribution of wealth which is pretty
redistribution of wealth which is pretty
redistribution of wealth which is pretty clear sadly he went on to say that the
clear sadly he went on to say that the
clear sadly he went on to say that the trend historically is toward the latter
trend historically is toward the latter
trend historically is toward the latter which is about as disappointing as it is
which is about as disappointing as it is
which is about as disappointing as it is predictable now at this point a
predictable now at this point a
predictable now at this point a colleague of mine suggested that all of
colleague of mine suggested that all of
colleague of mine suggested that all of these talks should have a picture of the
these talks should have a picture of the
these talks should have a picture of the planet Earth in order to add gravitas
planet Earth in order to add gravitas
planet Earth in order to add gravitas here’s mine
here’s mine
here’s mine so box ticked I think and what we need
so box ticked I think and what we need
so box ticked I think and what we need to do is to fundamentally D couple the
to do is to fundamentally D couple the
to do is to fundamentally D couple the distribution of resources from the idea
distribution of resources from the idea
distribution of resources from the idea of work and this seems like a gargantuan
of work and this seems like a gargantuan
of work and this seems like a gargantuan task perhaps perhaps insurmountable but
task perhaps perhaps insurmountable but
task perhaps perhaps insurmountable but actually there are people who have a
actually there are people who have a
actually there are people who have a proposition to tackle this head-on and
proposition to tackle this head-on and
proposition to tackle this head-on and we heard about this in an inspirational
we heard about this in an inspirational
we heard about this in an inspirational talk this morning the idea of a
talk this morning the idea of a
talk this morning the idea of a universal basic income now this idea of
universal basic income now this idea of
universal basic income now this idea of giving people money for basically for
giving people money for basically for
giving people money for basically for being there is not a new one it’s come
being there is not a new one it’s come
being there is not a new one it’s come back to the floor
back to the floor
back to the floor largely because of this threat of
largely because of this threat of
largely because of this threat of automation and I was one of those people
automation and I was one of those people
automation and I was one of those people I’m ashamed to admit that did jump to
I’m ashamed to admit that did jump to
I’m ashamed to admit that did jump to the rather cynical assumption that if
the rather cynical assumption that if
the rather cynical assumption that if you give people money for doing nothing
you give people money for doing nothing
you give people money for doing nothing then they will do nothing but actually
then they will do nothing but actually
then they will do nothing but actually sometimes in life it’s rather nice to be
sometimes in life it’s rather nice to be
sometimes in life it’s rather nice to be given the impression that you could well
given the impression that you could well
given the impression that you could well be wrong here and this scheme that’s
be wrong here and this scheme that’s
be wrong here and this scheme that’s being run in Kenya is being run by an
being run in Kenya is being run by an
being run in Kenya is being run by an organization called give directly and
organization called give directly and
organization called give directly and they have invested and they’ve raised
they have invested and they’ve raised
they have invested and they’ve raised funding to give people a sizeable
funding to give people a sizeable
funding to give people a sizeable community of people in Kenya a living
community of people in Kenya a living
community of people in Kenya a living wage over a period of about 10 years in
wage over a period of about 10 years in
wage over a period of about 10 years in order to see how they respond and the
order to see how they respond and the
order to see how they respond and the way they talk about this response right
way they talk about this response right
way they talk about this response right now is entirely positive it’s
now is entirely positive it’s
now is entirely positive it’s interesting given the control that
interesting given the control that
interesting given the control that people have given given over their lives
people have given given over their lives
people have given given over their lives to see how productively they work on
to see how productively they work on
to see how productively they work on behalf of themselves their families
behalf of themselves their families
behalf of themselves their families their communities and give directly are
their communities and give directly are
their communities and give directly are expanding their activities into Uganda
expanding their activities into Uganda
expanding their activities into Uganda so good for Africa would it work in
so good for Africa would it work in
so good for Africa would it work in other parts of the world or we’re about
other parts of the world or we’re about
other parts of the world or we’re about to find out
to find out
to find out with those programs pilot programs being
with those programs pilot programs being
with those programs pilot programs being and Utrecht in the Netherlands in
and Utrecht in the Netherlands in
and Utrecht in the Netherlands in Ontario Canada and in Finland so this is
Ontario Canada and in Finland so this is
Ontario Canada and in Finland so this is an idea that has traction that could
an idea that has traction that could
an idea that has traction that could spread however there are also countries
spread however there are also countries
spread however there are also countries who have already rejected this idea so
who have already rejected this idea so
who have already rejected this idea so there is no global consensus and nothing
there is no global consensus and nothing
there is no global consensus and nothing is yet proven and I’m not showing you
is yet proven and I’m not showing you
is yet proven and I’m not showing you this because I think this is the
this because I think this is the
this because I think this is the solution because frankly I don’t know
solution because frankly I don’t know
solution because frankly I don’t know I’m showing you this to demonstrate that
I’m showing you this to demonstrate that
I’m showing you this to demonstrate that there are people who believe this
there are people who believe this
there are people who believe this problem can be solved and they believe
problem can be solved and they believe
problem can be solved and they believe in their solution to work on it to back
in their solution to work on it to back
in their solution to work on it to back it to implement that solution and test
it to implement that solution and test
it to implement that solution and test it out in the real world and that is
it out in the real world and that is
it out in the real world and that is profoundly positive because where there
profoundly positive because where there
profoundly positive because where there is one solution and a set of motivated
is one solution and a set of motivated
is one solution and a set of motivated people to carry it through there can be
people to carry it through there can be
people to carry it through there can be others so three things to prepare us for
others so three things to prepare us for
others so three things to prepare us for a future with an artificially
a future with an artificially
a future with an artificially intelligent revolution preparing our
intelligent revolution preparing our
intelligent revolution preparing our next generations so that they can enter
next generations so that they can enter
next generations so that they can enter this world with a full and vital role to
this world with a full and vital role to
this world with a full and vital role to play in it having a say even a small one
play in it having a say even a small one
play in it having a say even a small one even a tiny one in the development of
even a tiny one in the development of
even a tiny one in the development of those technologies and lastly
those technologies and lastly
those technologies and lastly confronting the biggest challenge of all
confronting the biggest challenge of all
confronting the biggest challenge of all how we distribute the resources on earth
how we distribute the resources on earth
how we distribute the resources on earth three things but three human things now
three things but three human things now
three things but three human things now we started with the talk about
we started with the talk about
we started with the talk about artificial intelligence we’ve ended up
artificial intelligence we’ve ended up
artificial intelligence we’ve ended up somewhere much much bigger the future
somewhere much much bigger the future
somewhere much much bigger the future for everyone
for everyone
for everyone artificial intelligence has yet to reach
artificial intelligence has yet to reach
artificial intelligence has yet to reach a point where as beyond our ability to
a point where as beyond our ability to
a point where as beyond our ability to influence its development this
influence its development this
influence its development this technology revolution is coming bringing
technology revolution is coming bringing
technology revolution is coming bringing with it as we’ve seen huge benefits and
with it as we’ve seen huge benefits and
with it as we’ve seen huge benefits and equally huge challenges we can let those
equally huge challenges we can let those
equally huge challenges we can let those challenges overwhelm us if we choose not
challenges overwhelm us if we choose not
challenges overwhelm us if we choose not to confront them or we can work to
to confront them or we can work to
to confront them or we can work to slowly build a world in which the
slowly build a world in which the
slowly build a world in which the benefits of this revolution are made
benefits of this revolution are made
benefits of this revolution are made available to us all thank you very much
available to us all thank you very much
available to us all thank you very much [Applause]
[Applause]
[Applause] [Music]
[Music]
[Music] [Applause]
”
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