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3 keys to prepare us for an A.I. revolutionized future | Andy Hood | TEDxBucharest


we only talk about artificial

intelligence and there’s no great

surprise there because it seems that the

whole world is currently talking about

artificial intelligence in fact we are

rather saturated with movies and books

and new stories and famous people all

giving us a view about this future of AI

and sentiment in this area is quite

mixed for example spoiler alert

in the film ex machina an artificially

intelligent robot goes bad and kills

people and in the film iRobot an

artificially intelligent robot goes bad

and kills people and in the new film

Morgan an artificially intelligent robot

child goes bad and kills people on the

other hand brilliant people such as Elon

Musk and Stephen Hawking having quite

vocal recently in their views on a world

in future in which artificial

intelligence goes bad and kills

everybody so not entirely positive I’m

being slightly facetious obviously the

films are good fun and when the likes of

Elon Musk and Stephen Hawking are

speaking then the likes of me need to be

paying attention but they are all

talking about a future in which AI has

become self-aware possessing its own

motive and drive even its own

consciousness and that’s not where we

are right now but is it likely well the

scientists that NASA’s Jet Propulsion

Laboratory recently stated that soon

there will be no technological barrier

preventing us from creating machines

that have their own consciousness and he

might be right maybe technology is not

the barrier here maybe the barrier here

is actually our understanding of what

consciousness even is because we know so

little about it professor Margaret

Bowden is the head of cognitive science

at Sussex University near I live in

England she’s an amazing character in

the whole field of cognition and

intelligence creativity the mind she

said quite recently that we know so

little about consciousness but it’s not

that we can’t answer the big questions

we don’t even know

what questions to ask so maybe we’re not

quite yet ready to replicate this

process artificially a better question

might be does that even matter I’m sure

we’re all aware of the Turing test the

Turing test we’re chat BOTS have

conversations with humans and in so

doing try to convince those humans that

they’re actually having conversations

with other humans thereby showing some

form of intelligence and recent times

depending on what you read we’ve either

come close to or have actually passed

the Turing test and but no one would

think that these chat bots are actually

intelligent they just fool us into

thinking they are and that’s rather the

point at the time when a machine behaves

as though it’s intelligent and we behave

towards it as though it’s intelligent

does it really matter whether it’s

intelligent or not in terms of the

impact that that can have on our lives

and a eye is having a massive impact on

the world right now and some of that

impact is profoundly beneficial to the

whole world for example in the area of

Health IBM have been pushing Watson and

Watson health and it’s already saving

lives by diagnosing rare forms of

leukemia in London in England Moorfields

Eye Hospital which is an amazing place

have partnered with deep mind from

Google in order to analyze huge datasets

from AI scans and find and prevent the

illnesses that cause blindness this is

fantastic stuff and the field of

Education where we’ve been lumbered

since day one with the idea that in

order to educate people we need to get

large groups of people together in the

same place at the same time and tell

them the same thing in the same way does

it have to be this way how easy is that

to do in large areas where it’s very

difficult to get those people together

and they have very different

capabilities and a company called I am

Lango this is their image they are

working in Africa with a system with a

virtual tutor and and an adaptive

learning system they can reach these

children one-to-one and offer them

through the virtual tutor a personal

tuition one-to-one personal to ition

with a system which is adapting to the

individual learning capabilities of the

child

is amazing potentially at scale it

offers us the opportunity to raise the

education level of an entire region

through AI and we’re only here

scratching the surface of the benefits

that I can deliver on the flip side of

this are the fears and anxieties for a

world of AI right now those fears and

anxieties tend to focus on the idea that

artificial intelligence will automate us

out of our places of work this is

actually not a new film it’s quite old

this is an Amazon warehouse being run by

robots in being an old film that

actually shows us this is not just a

fear this is reality only the scale of

this situation is really a debating

point and there have been plenty of

studies on this subject

recently a Vox article quoted Morgan

Stanley as suggesting that in the States

the freight industry will be able to

save over 160 billion dollars a year

through the use of autonomous

technologies and over half of that over

80 billion dollars of savings will come

in the forms of staff reductions an

oft-quoted study from 2013 by Carl Frei

Michael Osborne suggested that in the

states also 47% of people with jobs in

the States have jobs which are at risk

of immediate potential automation 47%

represents a vast number of individual

human beings a far less intelligent man

stated the blindingly obvious recently

when he pointed out that we face a time

of major upheaval so the companies that

are creating these technologies how are

they facing up to the fears and

anxieties surrounding the technologies

that they’re working on well actually

it’s quite a positive story so recently

IBM Microsoft Google Facebook and Amazon

created something of an alliance to

tackle some of these issues they called

it the partnership on artificial

intelligence for the benefit of people

which is a nice title if not

particularly caching and they’re looking

to tackle these issues of ethics of

robustness of trust of security that AI

gives rise to Elon Musk who we mentioned

earlier founded open AI

or the billion dollars in order to try

and prevent this incredible technology

from falling under the control of

individual powerful people they have a

mantra to develop digital intelligence

in the ways most likely to benefit

humanity as a whole which is a wonderful

aspiration to have and then IBM

sponsoring the XPrize to offer financial

rewards to startups who can partner with

AI to confront the world’s grandest

challenges so the tech giants have our

best interests at heart and this I think

we can all agree is reassuring but what

does it mean for the rest of us are we

all the population as a whole are we

just sitting watching and waiting to see

what world is created for us and that we

will then try to work out how to live in

or can we proactively prepare for this

world set the scene for a world that we

have a rolling that we have a placing I

think we can and the reason that we can

is because although this revolution is

being brought to us through technology

the challenges we face in preparing for

that are entirely human challenges with

entirely human solutions and there are

three things that I think we need to

focus on the first is education you’ll

be glad to know that I don’t have any

children and I suspect a number of you

will either now or in the future are

those people learning what they need to

learn in order to have an active role to

play in the future which is being

created for them we clearly need to

create a curriculum syllabus that trains

people in the skills and the attributes

they need to work on or with these

autonomous technologies to be able to be

complementary to them rather than in

conflict with them knowing what we know

about the professions which are at risk

of immediate automation means we can

prepare people to have successful and

sustainable careers in areas which are

far at less risk not doing so means we

risk creating generations of people who

upon leaving our educational systems are

in

immediately lost this involves our

Boards of Education our schools our

colleges our government agencies which

are all bodies we have a voice in that

we must use secondly dialogue a

conversation it would be nice to think

that the companies who are creating the

technologies which will revolutionize

the world would take into account the

thoughts and feelings of the people

whose world it is that is being

revolutionized that might seem like

something of a pipe dream there is

actually a recent precedent in this area

albeit on a small scale with the

technology which we know is already

transforming the world that of

autonomous cars self-driving vehicles

every major motor automotive company is

currently engaged in a program of work

on autonomous driving Volvo is one of

those Volvo actually were keen to take

onboard the hopes aspirations and

opinions and anxieties of the people for

whom they are creating the vehicles and

use that to shape the program of work

they opened a channel to allow people to

answer a string of situational questions

such as do autonomous cars result in the

end of traffic accidents to publish the

figures so that we can all be aware of

what opinions are in this area and then

to take the data set that they create in

Word and allow it to shape the work that

they’re doing now the stance that we’ve

seen being taken by the major

organizations suggests that this is not

something they would shy away from I

think they would welcome this the third

challenge we face is by far the biggest

on a massive scale and it is the problem

of the distribution of resources we have

created a world over thousands of years

where resources are distributed based on

work that gets done so you work you

therefore have access to the resources

that you need what happens when people

stop working currently we have welfare

schemes benefit schemes for those people

because they are the exception but what

happens when the exception becomes the

rule now Stephen Hawking a very clever

man obviously who we mentioned earlier

he put this quite succinctly when he

said recently and I’m paraphrasing now

in a world where machines

uess what we need the outcome will

depend on how things are distributed we

can all live lives of luxury if the

machine produced wealth is shared or the

majority can live lives that are

miserably poor if the machine owners

successfully lobby against the

redistribution of wealth which is pretty

clear sadly he went on to say that the

trend historically is toward the latter

which is about as disappointing as it is

predictable now at this point a

colleague of mine suggested that all of

these talks should have a picture of the

planet Earth in order to add gravitas

here’s mine

so box ticked I think and what we need

to do is to fundamentally D couple the

distribution of resources from the idea

of work and this seems like a gargantuan

task perhaps perhaps insurmountable but

actually there are people who have a

proposition to tackle this head-on and

we heard about this in an inspirational

talk this morning the idea of a

universal basic income now this idea of

giving people money for basically for

being there is not a new one it’s come

back to the floor

largely because of this threat of

automation and I was one of those people

I’m ashamed to admit that did jump to

the rather cynical assumption that if

you give people money for doing nothing

then they will do nothing but actually

sometimes in life it’s rather nice to be

given the impression that you could well

be wrong here and this scheme that’s

being run in Kenya is being run by an

organization called give directly and

they have invested and they’ve raised

funding to give people a sizeable

community of people in Kenya a living

wage over a period of about 10 years in

order to see how they respond and the

way they talk about this response right

now is entirely positive it’s

interesting given the control that

people have given given over their lives

to see how productively they work on

behalf of themselves their families

their communities and give directly are

expanding their activities into Uganda

so good for Africa would it work in

other parts of the world or we’re about

to find out

with those programs pilot programs being

and Utrecht in the Netherlands in

Ontario Canada and in Finland so this is

an idea that has traction that could

spread however there are also countries

who have already rejected this idea so

there is no global consensus and nothing

is yet proven and I’m not showing you

this because I think this is the

solution because frankly I don’t know

I’m showing you this to demonstrate that

there are people who believe this

problem can be solved and they believe

in their solution to work on it to back

it to implement that solution and test

it out in the real world and that is

profoundly positive because where there

is one solution and a set of motivated

people to carry it through there can be

others so three things to prepare us for

a future with an artificially

intelligent revolution preparing our

next generations so that they can enter

this world with a full and vital role to

play in it having a say even a small one

even a tiny one in the development of

those technologies and lastly

confronting the biggest challenge of all

how we distribute the resources on earth

three things but three human things now

we started with the talk about

artificial intelligence we’ve ended up

somewhere much much bigger the future

for everyone

artificial intelligence has yet to reach

a point where as beyond our ability to

influence its development this

technology revolution is coming bringing

with it as we’ve seen huge benefits and

equally huge challenges we can let those

challenges overwhelm us if we choose not

to confront them or we can work to

slowly build a world in which the

benefits of this revolution are made

available to us all thank you very much

[Applause]

[Music] [Applause]

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