so am I am i able to be heard good well just as we’ve seen I don’t
good well just as we’ve seen I don’t
good well just as we’ve seen I don’t know if it’s really accurate to say that
know if it’s really accurate to say that
know if it’s really accurate to say that I am from artificial intelligence it
I am from artificial intelligence it
I am from artificial intelligence it doesn’t really sound right does it I am
doesn’t really sound right does it I am
doesn’t really sound right does it I am a citizen of the UK but I’ve lived a
a citizen of the UK but I’ve lived a
a citizen of the UK but I’ve lived a major part of my life in Singapore and
major part of my life in Singapore and
major part of my life in Singapore and in Sydney and in Seoul Korea and I’m now
in Sydney and in Seoul Korea and I’m now
in Sydney and in Seoul Korea and I’m now living in New York State
living in New York State
living in New York State so yeah I’m kind of mixed up I suppose
so yeah I’m kind of mixed up I suppose
so yeah I’m kind of mixed up I suppose anyway what I’m going to be talking
anyway what I’m going to be talking
anyway what I’m going to be talking about is artificial intelligence and I’d
about is artificial intelligence and I’d
about is artificial intelligence and I’d be particularly looking at it from a
be particularly looking at it from a
be particularly looking at it from a point of view of the artificial horizon
point of view of the artificial horizon
point of view of the artificial horizon which is which we are approaching I’m
which is which we are approaching I’m
which is which we are approaching I’m going to also be talking about robotics
going to also be talking about robotics
going to also be talking about robotics and I’m going to be placing these in the
and I’m going to be placing these in the
and I’m going to be placing these in the context of a dialogue which I’ve called
context of a dialogue which I’ve called
context of a dialogue which I’ve called the prophets of doom and the doom of
the prophets of doom and the doom of
the prophets of doom and the doom of prophets were actually the doom of
prophets were actually the doom of
prophets were actually the doom of prophets being put first in the business
prophets being put first in the business
prophets being put first in the business of artificial intelligence and in
of artificial intelligence and in
of artificial intelligence and in industrial automation and robotics I
industrial automation and robotics I
industrial automation and robotics I should say that I’m the chief technology
should say that I’m the chief technology
should say that I’m the chief technology officer of a robotics company in the
officer of a robotics company in the
officer of a robotics company in the States so that gives you a little bit of
States so that gives you a little bit of
States so that gives you a little bit of perspective of where I’m coming from
perspective of where I’m coming from
perspective of where I’m coming from now AI is booming we’re talking about
now AI is booming we’re talking about
now AI is booming we’re talking about 300% growth in the last year we’re
300% growth in the last year we’re
300% growth in the last year we’re talking about Price Waterhouse Cooper
talking about Price Waterhouse Cooper
talking about Price Waterhouse Cooper claiming that by 2040 to be something
claiming that by 2040 to be something
claiming that by 2040 to be something like what’s the number fifteen point
like what’s the number fifteen point
like what’s the number fifteen point seven trillion dollars created by this
seven trillion dollars created by this
seven trillion dollars created by this these businesses just give you a
these businesses just give you a
these businesses just give you a perspective of that huge number that’s
perspective of that huge number that’s
perspective of that huge number that’s more than double the amount of gold ever
more than double the amount of gold ever
more than double the amount of gold ever mined by humans in the history of the
mined by humans in the history of the
mined by humans in the history of the world it’s a huge number so it’s a huge
world it’s a huge number so it’s a huge
world it’s a huge number so it’s a huge hope it’s a huge utopian goal and
hope it’s a huge utopian goal and
hope it’s a huge utopian goal and likewise in industrial robotics and
likewise in industrial robotics and
likewise in industrial robotics and automation the concept is is that goods
automation the concept is is that goods
automation the concept is is that goods of high quality can be produced at such
of high quality can be produced at such
of high quality can be produced at such low cost that we will have this concept
low cost that we will have this concept
low cost that we will have this concept of the abundance economy but what’s
of the abundance economy but what’s
of the abundance economy but what’s going to have
going to have
going to have in terms of jobs what’s going to happen
in terms of jobs what’s going to happen
in terms of jobs what’s going to happen in terms of our culture with the
in terms of our culture with the
in terms of our culture with the introduction of these technologies these
introduction of these technologies these
introduction of these technologies these are real issues and this is the main
are real issues and this is the main
are real issues and this is the main part of the discussion likewise is not
part of the discussion likewise is not
part of the discussion likewise is not just about factories in industrial
just about factories in industrial
just about factories in industrial robotics robots are coming into our
robotics robots are coming into our
robotics robots are coming into our homes artificial intelligence is coming
homes artificial intelligence is coming
homes artificial intelligence is coming into our homes there are issues here
into our homes there are issues here
into our homes there are issues here that I’m going to explore so let’s talk
that I’m going to explore so let’s talk
that I’m going to explore so let’s talk first of all about the prospect of super
first of all about the prospect of super
first of all about the prospect of super intelligence a kind of AI that we
intelligence a kind of AI that we
intelligence a kind of AI that we actually call AG AI artificial
actually call AG AI artificial
actually call AG AI artificial generically intelligence now what I
generically intelligence now what I
generically intelligence now what I would like to draw your attention to it
would like to draw your attention to it
would like to draw your attention to it is that in the sixties experts were
is that in the sixties experts were
is that in the sixties experts were saying it’s 30 years from now in the 90s
saying it’s 30 years from now in the 90s
saying it’s 30 years from now in the 90s and in the 90s it was in 2020 30 years
and in the 90s it was in 2020 30 years
and in the 90s it was in 2020 30 years and at 2014 when this data was collected
and at 2014 when this data was collected
and at 2014 when this data was collected 2015/2016 they’re saying it’s around or
2015/2016 they’re saying it’s around or
2015/2016 they’re saying it’s around or the major cluster is around 2040 – more
the major cluster is around 2040 – more
the major cluster is around 2040 – more or less and that’s suggesting that it’s
or less and that’s suggesting that it’s
or less and that’s suggesting that it’s less than 30 years so maybe there has
less than 30 years so maybe there has
less than 30 years so maybe there has been progress in as much as it’s
been progress in as much as it’s
been progress in as much as it’s becoming now below the 30 year horizon
becoming now below the 30 year horizon
becoming now below the 30 year horizon and let us say between 15 and 40 years
and let us say between 15 and 40 years
and let us say between 15 and 40 years is a good mark because there’s a lot of
is a good mark because there’s a lot of
is a good mark because there’s a lot of diversity in this expert opinion part of
diversity in this expert opinion part of
diversity in this expert opinion part of the situation that we find ourselves in
the situation that we find ourselves in
the situation that we find ourselves in is well described by a paradigm of
is well described by a paradigm of
is well described by a paradigm of Industrial Revolution we’re familiar
Industrial Revolution we’re familiar
Industrial Revolution we’re familiar from our history books about the first
from our history books about the first
from our history books about the first Industrial Revolution about steam and
Industrial Revolution about steam and
Industrial Revolution about steam and mechanical engines and we are familiar
mechanical engines and we are familiar
mechanical engines and we are familiar perhaps with the law decree billion that
perhaps with the law decree billion that
perhaps with the law decree billion that occurred in textiles I actually come
occurred in textiles I actually come
occurred in textiles I actually come from a town fifteen miles away from
from a town fifteen miles away from
from a town fifteen miles away from where there was a major Luddite
where there was a major Luddite
where there was a major Luddite rebellion actions in helm Shaw in
rebellion actions in helm Shaw in
rebellion actions in helm Shaw in Lancashire and Industry 2.0 the end of
Lancashire and Industry 2.0 the end of
Lancashire and Industry 2.0 the end of the 19th century beginning of the 20th
the 19th century beginning of the 20th
the 19th century beginning of the 20th century where the revolution or the
century where the revolution or the
century where the revolution or the technology driver was an
technology driver was an
technology driver was an in the 1950s and 60s the revolution was
in the 1950s and 60s the revolution was
in the 1950s and 60s the revolution was in VLSI and microprocessors and digital
in VLSI and microprocessors and digital
in VLSI and microprocessors and digital and right now we are in a new industrial
and right now we are in a new industrial
and right now we are in a new industrial revolution of the Internet of the
revolution of the Internet of the
revolution of the Internet of the virtual of the cloud and there’s a new
virtual of the cloud and there’s a new
virtual of the cloud and there’s a new revolution coming very quickly on its
revolution coming very quickly on its
revolution coming very quickly on its heels
heels
heels artificial intelligence something which
artificial intelligence something which
artificial intelligence something which is radically capable of changing the
is radically capable of changing the
is radically capable of changing the world in which we live in and the
world in which we live in and the
world in which we live in and the practices that we take for granted and
practices that we take for granted and
practices that we take for granted and the culture that we have and robotics
the culture that we have and robotics
the culture that we have and robotics has played a part in all of these there
has played a part in all of these there
has played a part in all of these there was the jacquard loom in textile mills
was the jacquard loom in textile mills
was the jacquard loom in textile mills in the first Industrial Revolution and
in the first Industrial Revolution and
in the first Industrial Revolution and actually robotics can be seen in the
actually robotics can be seen in the
actually robotics can be seen in the electrical you know the production lines
electrical you know the production lines
electrical you know the production lines production lines of the Ford Motor
production lines of the Ford Motor
production lines of the Ford Motor Company Henry Ford is a kind of
Company Henry Ford is a kind of
Company Henry Ford is a kind of industrial automation and again with
industrial automation and again with
industrial automation and again with robotic arms in the digital era and now
robotic arms in the digital era and now
robotic arms in the digital era and now in the connected era we also have the
in the connected era we also have the
in the connected era we also have the robots some of these robots that we find
robots some of these robots that we find
robots some of these robots that we find in our homes so I think I should be
in our homes so I think I should be
in our homes so I think I should be pointing over here rather than so
pointing over here rather than so
pointing over here rather than so basically what do we have here but I’m
basically what do we have here but I’m
basically what do we have here but I’m talking about now that was the utopian
talking about now that was the utopian
talking about now that was the utopian dream but there is a dystopian
dream but there is a dystopian
dream but there is a dystopian undercurrent here and in particular
undercurrent here and in particular
undercurrent here and in particular there is the concept that you’ll hear
there is the concept that you’ll hear
there is the concept that you’ll hear about the existential threat of
about the existential threat of
about the existential threat of artificial generic intelligence super
artificial generic intelligence super
artificial generic intelligence super intelligence will these systems be our
intelligence will these systems be our
intelligence will these systems be our overlords will they be the ones in
overlords will they be the ones in
overlords will they be the ones in charge because they can operate well
charge because they can operate well
charge because they can operate well beyond our capabilities and
beyond our capabilities and
beyond our capabilities and intelligences in complex situations that
intelligences in complex situations that
intelligences in complex situations that we’re incapable of managing
we’re incapable of managing
we’re incapable of managing there is also the concern that
there is also the concern that
there is also the concern that industrial automation in particular is
industrial automation in particular is
industrial automation in particular is going to savage our job prospects not
going to savage our job prospects not
going to savage our job prospects not only in terms of manual labor in an
only in terms of manual labor in an
only in terms of manual labor in an industrial automation setting but
industrial automation setting but
industrial automation setting but through AI in the white collar industry
through AI in the white collar industry
through AI in the white collar industry Legal industries education sectors
Legal industries education sectors
Legal industries education sectors medical and health sectors and the
medical and health sectors and the
medical and health sectors and the military are all open for AI to have
military are all open for AI to have
military are all open for AI to have massive impact and it’s more than just
massive impact and it’s more than just
massive impact and it’s more than just jobs as I will be pointing out are these
jobs as I will be pointing out are these
jobs as I will be pointing out are these hopes and fears being overhyped I’m
hopes and fears being overhyped I’m
hopes and fears being overhyped I’m going to show you some figures or
going to show you some figures or
going to show you some figures or diagrams I should say the first one here
diagrams I should say the first one here
diagrams I should say the first one here talks about the media frenzy it’s been
talks about the media frenzy it’s been
talks about the media frenzy it’s been fairly constant the blue line represents
fairly constant the blue line represents
fairly constant the blue line represents positive media coverage of AI the orange
positive media coverage of AI the orange
positive media coverage of AI the orange line red line depicts negative media
line red line depicts negative media
line red line depicts negative media attention and currently up to about 2015
attention and currently up to about 2015
attention and currently up to about 2015 the ratio was three to warn in terms of
the ratio was three to warn in terms of
the ratio was three to warn in terms of positive now it’s more like one to one
positive now it’s more like one to one
positive now it’s more like one to one there is a significant rise in the fears
there is a significant rise in the fears
there is a significant rise in the fears that AI and industrial automation and
that AI and industrial automation and
that AI and industrial automation and robotics can deliver and that’s rising
robotics can deliver and that’s rising
robotics can deliver and that’s rising dramatically so fast that we can talk
dramatically so fast that we can talk
dramatically so fast that we can talk about the expectations of a hype cycle
about the expectations of a hype cycle
about the expectations of a hype cycle are we in this situation were the
are we in this situation were the
are we in this situation were the expectations of industrial automation
expectations of industrial automation
expectations of industrial automation and robotics is so high that it can’t go
and robotics is so high that it can’t go
and robotics is so high that it can’t go any further it has to come down as we
any further it has to come down as we
any further it has to come down as we deliver production of these systems
deliver production of these systems
deliver production of these systems their expectations perhaps will not be
their expectations perhaps will not be
their expectations perhaps will not be met and then though if they really do
met and then though if they really do
met and then though if they really do have value if they really can make
have value if they really can make
have value if they really can make contribution to our society they will
contribution to our society they will
contribution to our society they will rise up to a more realistic expectation
rise up to a more realistic expectation
rise up to a more realistic expectation this hype cycle has been seen for many
this hype cycle has been seen for many
this hype cycle has been seen for many technology innovations in our society
technology innovations in our society
technology innovations in our society and right now at the top of expectations
and right now at the top of expectations
and right now at the top of expectations are many of those key technologies which
are many of those key technologies which
are many of those key technologies which relate to AI so is it type AI perhaps
relate to AI so is it type AI perhaps
relate to AI so is it type AI perhaps and robotics perhaps more than any other
and robotics perhaps more than any other
and robotics perhaps more than any other technology is very well depicted in the
technology is very well depicted in the
technology is very well depicted in the science-fiction stories that you may
science-fiction stories that you may
science-fiction stories that you may have all grown up with there’s one here
have all grown up with there’s one here
have all grown up with there’s one here actually from metropolis a silent
actually from metropolis a silent
actually from metropolis a silent black-and-white movie made in perhaps
black-and-white movie made in perhaps
black-and-white movie made in perhaps the 20s I accompanied me
the 20s I accompanied me
the 20s I accompanied me but then we can see many of these
but then we can see many of these
but then we can see many of these pictures of some of our favorite movies
pictures of some of our favorite movies
pictures of some of our favorite movies whether it’s Blade Runner or Westworld
whether it’s Blade Runner or Westworld
whether it’s Blade Runner or Westworld or iRobot or the Terminator and other
or iRobot or the Terminator and other
or iRobot or the Terminator and other such programs and these often are
such programs and these often are
such programs and these often are cautionary tales there are stories about
cautionary tales there are stories about
cautionary tales there are stories about things that can go wrong
things that can go wrong
things that can go wrong they often feature rebellion but one of
they often feature rebellion but one of
they often feature rebellion but one of the issues I’m going to put to you is
the issues I’m going to put to you is
the issues I’m going to put to you is that there may well be a rebellion but
that there may well be a rebellion but
that there may well be a rebellion but it may not be by the robots it may be
it may not be by the robots it may be
it may not be by the robots it may be through and for us okay so I’m now going
through and for us okay so I’m now going
through and for us okay so I’m now going to break up my talking to plot the
to break up my talking to plot the
to break up my talking to plot the prophets of doom and the doom of
prophets of doom and the doom of
prophets of doom and the doom of prophets being put first let’s talk
prophets being put first let’s talk
prophets being put first let’s talk about existential risk now two
about existential risk now two
about existential risk now two commentators I personally admire very
commentators I personally admire very
commentators I personally admire very much for their further contribution and
much for their further contribution and
much for their further contribution and capabilities in sight one is Elon Musk
capabilities in sight one is Elon Musk
capabilities in sight one is Elon Musk one is professor Stephen Hawking yet
one is professor Stephen Hawking yet
one is professor Stephen Hawking yet they’ve been very negative in terms of
they’ve been very negative in terms of
they’ve been very negative in terms of their fears of AI and industrial
their fears of AI and industrial
their fears of AI and industrial automation Elon Musk very recently this
automation Elon Musk very recently this
automation Elon Musk very recently this week from the Rolling Stone article it’s
week from the Rolling Stone article it’s
week from the Rolling Stone article it’s been talking about the chances of AI
been talking about the chances of AI
been talking about the chances of AI being safe has been less than five to
being safe has been less than five to
being safe has been less than five to ten percent I mean that’s basically
ten percent I mean that’s basically
ten percent I mean that’s basically saying that AI will bring us to do
saying that AI will bring us to do
saying that AI will bring us to do and likewise Stephen Hawking echoes some
and likewise Stephen Hawking echoes some
and likewise Stephen Hawking echoes some of those sentiment though he also
of those sentiment though he also
of those sentiment though he also mentions in the quotation here that our
mentions in the quotation here that our
mentions in the quotation here that our economies may fail also as a consequence
economies may fail also as a consequence
economies may fail also as a consequence of some of the job losses that will
of some of the job losses that will
of some of the job losses that will occur through industrial automation so
occur through industrial automation so
occur through industrial automation so just very quickly so that I keep the
just very quickly so that I keep the
just very quickly so that I keep the time.however are those fears really
time.however are those fears really
time.however are those fears really solid and backed up there are many
solid and backed up there are many
solid and backed up there are many recent failures if you choose to look
recent failures if you choose to look
recent failures if you choose to look for them for every success story there
for them for every success story there
for them for every success story there are dozens of failures behind them
are dozens of failures behind them
are dozens of failures behind them making the AI success stories is really
making the AI success stories is really
making the AI success stories is really hard we’re not in a position where we
hard we’re not in a position where we
hard we’re not in a position where we roll out AI systems very very quickly
roll out AI systems very very quickly
roll out AI systems very very quickly they have to be tuned they have to be
they have to be tuned they have to be
they have to be tuned they have to be nursed into existence there are known
nursed into existence there are known
nursed into existence there are known technical problems we struggle to
technical problems we struggle to
technical problems we struggle to understand issues like consciousness
understand issues like consciousness
understand issues like consciousness such as free will such as
such as free will such as
such as free will such as self-determination these are
self-determination these are
self-determination these are philosophical concepts and we are trying
philosophical concepts and we are trying
philosophical concepts and we are trying to in terms of AGI pitch those in
to in terms of AGI pitch those in
to in terms of AGI pitch those in technological terms it’s not so
technological terms it’s not so
technological terms it’s not so straightforward we don’t really have an
straightforward we don’t really have an
straightforward we don’t really have an idea what those terms mean
idea what those terms mean
idea what those terms mean so trying to build technology behind
so trying to build technology behind
so trying to build technology behind things that we don’t really understand
things that we don’t really understand
things that we don’t really understand is a genuine issue this is the mysterion
is a genuine issue this is the mysterion
is a genuine issue this is the mysterion objection which is saying as I’ve said
objection which is saying as I’ve said
objection which is saying as I’ve said we don’t understand these terms it may
we don’t understand these terms it may
we don’t understand these terms it may be beyond us to build these systems the
be beyond us to build these systems the
be beyond us to build these systems the expectation from experts let’s remind
expectation from experts let’s remind
expectation from experts let’s remind ourselves is fifteen to thirty forty
ourselves is fifteen to thirty forty
ourselves is fifteen to thirty forty years from now there is time to fix some
years from now there is time to fix some
years from now there is time to fix some of the issues my last point is that we
of the issues my last point is that we
of the issues my last point is that we can potentially fix some of the AGI
can potentially fix some of the AGI
can potentially fix some of the AGI issues we can put a firewall of
issues we can put a firewall of
issues we can put a firewall of connectivity between the AGI which we
connectivity between the AGI which we
connectivity between the AGI which we may well be asking for advice for
may well be asking for advice for
may well be asking for advice for helpers with global climate change
helpers with global climate change
helpers with global climate change scenarios for example and put those such
scenarios for example and put those such
scenarios for example and put those such that they don’t control things beyond
that they don’t control things beyond
that they don’t control things beyond the firewall they don’t even get access
the firewall they don’t even get access
the firewall they don’t even get access to the Internet beyond the firewall
to the Internet beyond the firewall
to the Internet beyond the firewall unless it’s through a narrow
unless it’s through a narrow
unless it’s through a narrow well-controlled dialogue we can actually
well-controlled dialogue we can actually
well-controlled dialogue we can actually fix the safety issue if we have 15 to 20
fix the safety issue if we have 15 to 20
fix the safety issue if we have 15 to 20 years to 30 years to do that
years to 30 years to do that
years to 30 years to do that and here’s a big point for most of the
and here’s a big point for most of the
and here’s a big point for most of the applications AGI is totally not needed
applications AGI is totally not needed
applications AGI is totally not needed if you’re having a robot in your home
if you’re having a robot in your home
if you’re having a robot in your home doing your washing up doing your laundry
doing your washing up doing your laundry
doing your washing up doing your laundry cleaning out the cat litter does it
cleaning out the cat litter does it
cleaning out the cat litter does it really need to be conscious if it was it
really need to be conscious if it was it
really need to be conscious if it was it might not be very happy to be doing
might not be very happy to be doing
might not be very happy to be doing those jobs what we want from these
those jobs what we want from these
those jobs what we want from these robots is to be able to do those jobs
robots is to be able to do those jobs
robots is to be able to do those jobs without being happy or sad and emotion
without being happy or sad and emotion
without being happy or sad and emotion and consciousness are not part of
so moving on now to the Deemer profit
so moving on now to the Deemer profit scenario well yes
scenario well yes
scenario well yes industrial automation will reduce the
industrial automation will reduce the
industrial automation will reduce the amount of robotic jobs they’re out there
amount of robotic jobs they’re out there
amount of robotic jobs they’re out there but just keep in mind what I’m saying
but just keep in mind what I’m saying
but just keep in mind what I’m saying humans doing robotics jobs is not a
humans doing robotics jobs is not a
humans doing robotics jobs is not a humane use of humanity if I articulated
humane use of humanity if I articulated
humane use of humanity if I articulated that well what we really should be
that well what we really should be
that well what we really should be aspiring to do is to assign robots to
aspiring to do is to assign robots to
aspiring to do is to assign robots to robotic jobs and humans to humane jobs
robotic jobs and humans to humane jobs
robotic jobs and humans to humane jobs and it’s my belief that there is an
and it’s my belief that there is an
and it’s my belief that there is an infinite opportunity to find humane jobs
infinite opportunity to find humane jobs
infinite opportunity to find humane jobs there is always need for humans to help
there is always need for humans to help
there is always need for humans to help other humans in one way or another now
other humans in one way or another now
other humans in one way or another now we may have to adjust our economies to
we may have to adjust our economies to
we may have to adjust our economies to be able to support that and that’s part
be able to support that and that’s part
be able to support that and that’s part of the discussion here basically we may
of the discussion here basically we may
of the discussion here basically we may have to change our source your economic
have to change our source your economic
have to change our source your economic models we may have to introduce concepts
models we may have to introduce concepts
models we may have to introduce concepts such as universal basic income a whole
such as universal basic income a whole
such as universal basic income a whole TED talk and more could be devoted to
TED talk and more could be devoted to
TED talk and more could be devoted to that point so I’ll just leave that there
that point so I’ll just leave that there
that point so I’ll just leave that there highly immersive AI gaming systems are
highly immersive AI gaming systems are
highly immersive AI gaming systems are going to provide us with entertainment
going to provide us with entertainment
going to provide us with entertainment at a level never seen before and we will
at a level never seen before and we will
at a level never seen before and we will have the service robots and sex robots
have the service robots and sex robots
have the service robots and sex robots available to us and the impact of those
available to us and the impact of those
available to us and the impact of those is going to be massive there are
is going to be massive there are
is going to be massive there are problems in trusting some of the deep
problems in trusting some of the deep
problems in trusting some of the deep learning systems that we have there
learning systems that we have there
learning systems that we have there black boxes we train them but we can’t
black boxes we train them but we can’t
black boxes we train them but we can’t understand how they’ve arrived at their
understand how they’ve arrived at their
understand how they’ve arrived at their decisions again this is a topic that a
decisions again this is a topic that a
decisions again this is a topic that a whole TED talk could be devoted to so
whole TED talk could be devoted to so
whole TED talk could be devoted to so I’ll move on
I’ll move on
I’ll move on there are catastrophic problems in case
there are catastrophic problems in case
there are catastrophic problems in case there are is hacking that are in case
there are is hacking that are in case
there are is hacking that are in case there are bugs within the system and if
there are bugs within the system and if
there are bugs within the system and if these systems have been around for a few
these systems have been around for a few
these systems have been around for a few years the humans that they’ve replaced
years the humans that they’ve replaced
years the humans that they’ve replaced their skills are not necessarily now
their skills are not necessarily now
their skills are not necessarily now available after a catastrophe
available after a catastrophe
available after a catastrophe catastrophe so the point is of human
catastrophe so the point is of human
catastrophe so the point is of human atrophy we can’t roll back if we’ve been
atrophy we can’t roll back if we’ve been
atrophy we can’t roll back if we’ve been working in mission critical systems with
working in mission critical systems with
working in mission critical systems with AI systems the possibility is that if
AI systems the possibility is that if
AI systems the possibility is that if they crash
they crash
they crash it’s going to be difficult to roll back
it’s going to be difficult to roll back
it’s going to be difficult to roll back these are major issues now they can be
these are major issues now they can be
these are major issues now they can be resolved but they have to be planned to
resolved but they have to be planned to
resolved but they have to be planned to be resolved
be resolved
be resolved we can’t just blunder or we can I mean
we can’t just blunder or we can I mean
we can’t just blunder or we can I mean humankind has had a history of
humankind has had a history of
humankind has had a history of blundering into technological issues but
blundering into technological issues but
blundering into technological issues but we have to change that mentality is my
we have to change that mentality is my
we have to change that mentality is my point here otherwise we are ceding moral
point here otherwise we are ceding moral
point here otherwise we are ceding moral authority to machines that perhaps we
authority to machines that perhaps we
authority to machines that perhaps we shouldn’t be and we are preparing
shouldn’t be and we are preparing
shouldn’t be and we are preparing perhaps for a rebellion but it’s not a
perhaps for a rebellion but it’s not a
perhaps for a rebellion but it’s not a robot rebellion it’s a human rebellion
robot rebellion it’s a human rebellion
robot rebellion it’s a human rebellion so I’m concluding here now trying to
so I’m concluding here now trying to
so I’m concluding here now trying to keep within my summer time slot and
keep within my summer time slot and
keep within my summer time slot and basically my point is don’t worry so
basically my point is don’t worry so
basically my point is don’t worry so much about the AGI issue for
much about the AGI issue for
much about the AGI issue for intelligence issues we can fix those
intelligence issues we can fix those
intelligence issues we can fix those problems we don’t really need AGI in the
problems we don’t really need AGI in the
problems we don’t really need AGI in the general community it’s more hype caused
general community it’s more hype caused
general community it’s more hype caused by fear than a real risk in my opinion
by fear than a real risk in my opinion
by fear than a real risk in my opinion but we do need to resolve and take
but we do need to resolve and take
but we do need to resolve and take action today on the narrow AI
action today on the narrow AI
action today on the narrow AI applications whether they be in health
applications whether they be in health
applications whether they be in health government military legal and these can
government military legal and these can
government military legal and these can be augmented intelligence they’re not
be augmented intelligence they’re not
be augmented intelligence they’re not necessarily replacing teachers replacing
necessarily replacing teachers replacing
necessarily replacing teachers replacing lawyers but maybe their paralegals and
lawyers but maybe their paralegals and
lawyers but maybe their paralegals and their paramedics so that the third point
their paramedics so that the third point
their paramedics so that the third point is is that the economic value that
is is that the economic value that
is is that the economic value that massive trillion-dollar multiple
massive trillion-dollar multiple
massive trillion-dollar multiple trillion dollar impact will be there for
trillion dollar impact will be there for
trillion dollar impact will be there for us and furthermore that they can help us
us and furthermore that they can help us
us and furthermore that they can help us with some of the genuine existential
with some of the genuine existential
with some of the genuine existential issues that we have and issues of
issues that we have and issues of
issues that we have and issues of bringing services to areas in which they
bringing services to areas in which they
bringing services to areas in which they traditionally haven’t been available
traditionally haven’t been available
traditionally haven’t been available bringing health services legal services
bringing health services legal services
bringing health services legal services medical as I say education services to
medical as I say education services to
medical as I say education services to communities which don’t necessarily have
communities which don’t necessarily have
communities which don’t necessarily have at this time the luxury of of those in
at this time the luxury of of those in
at this time the luxury of of those in less well developed countries I’m
less well developed countries I’m
less well developed countries I’m finishing up as I say I don’t really
finishing up as I say I don’t really
finishing up as I say I don’t really have time to read through this massive
have time to read through this massive
have time to read through this massive quotation of Professor Daniel Dennett I
quotation of Professor Daniel Dennett I
quotation of Professor Daniel Dennett I do hope that you look it up I understand
do hope that you look it up I understand
do hope that you look it up I understand you
you
you can get a copy of my slides from the
can get a copy of my slides from the
can get a copy of my slides from the organizers basically echoes my opinion
organizers basically echoes my opinion
organizers basically echoes my opinion he calls the concept of artificial
he calls the concept of artificial
he calls the concept of artificial general intelligence in shop term
general intelligence in shop term
general intelligence in shop term balderdash and he echoes my position
balderdash and he echoes my position
balderdash and he echoes my position about that we mustn’t cede our moral
about that we mustn’t cede our moral
about that we mustn’t cede our moral authority to narrow AI in the short term
authority to narrow AI in the short term
authority to narrow AI in the short term so ladies and gentlemen boys and girls
so ladies and gentlemen boys and girls
so ladies and gentlemen boys and girls there is an opportunity here to make our
there is an opportunity here to make our
there is an opportunity here to make our future to get the Utopia but it’s going
future to get the Utopia but it’s going
future to get the Utopia but it’s going to need us to do things differently we
to need us to do things differently we
to need us to do things differently we mustn’t blunder into the business of
mustn’t blunder into the business of
mustn’t blunder into the business of usual prediction this particular graph
usual prediction this particular graph
usual prediction this particular graph shows a 60 10% 30% for positive business
shows a 60 10% 30% for positive business
shows a 60 10% 30% for positive business as usual so-called neutral and 30%
as usual so-called neutral and 30%
as usual so-called neutral and 30% lacked ahead of a negative perspective
lacked ahead of a negative perspective
lacked ahead of a negative perspective maybe maybe not
maybe maybe not
maybe maybe not but the point is is that business as
but the point is is that business as
but the point is is that business as usual is not good enough business as
usual is not good enough business as
usual is not good enough business as usual as God as into the climate change
usual as God as into the climate change
usual as God as into the climate change position it’s not good enough we must
position it’s not good enough we must
position it’s not good enough we must become change masters we must build our
become change masters we must build our
become change masters we must build our society we must take active control and
society we must take active control and
society we must take active control and with that I hand over to the youngsters
with that I hand over to the youngsters
with that I hand over to the youngsters in the audience because it’s you that
in the audience because it’s you that
in the audience because it’s you that are going to make this difference into
are going to make this difference into
are going to make this difference into the to this planet it’s you that need to
the to this planet it’s you that need to
the to this planet it’s you that need to be engaged on this subject so excuse my
be engaged on this subject so excuse my
be engaged on this subject so excuse my passion but I need you thank you very
passion but I need you thank you very
passion but I need you thank you very much
much
much [Applause]
”
Be First to Comment