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Artificial intelligence will unleash the potential in each of us | Yuval Ben-Itzhak | TEDxUNYP


[Music]

[Music] as a child who grew up in the 70s I also

as a child who grew up in the 70s I also

as a child who grew up in the 70s I also enjoy watching the great movie from

enjoy watching the great movie from

enjoy watching the great movie from Charlie Chaplin they had no voice and no

Charlie Chaplin they had no voice and no

Charlie Chaplin they had no voice and no colors but they were full of joy and I

colors but they were full of joy and I

colors but they were full of joy and I remember in particular the movie more

remember in particular the movie more

remember in particular the movie more than times this is when Charlie was

than times this is when Charlie was

than times this is when Charlie was standing next to the Machine augmenting

standing next to the Machine augmenting

standing next to the Machine augmenting it with small repeated tasks all day

it with small repeated tasks all day

it with small repeated tasks all day long in an ever-growing paste and more

long in an ever-growing paste and more

long in an ever-growing paste and more particularly I remember the moment when

particularly I remember the moment when

particularly I remember the moment when Charlie wanted to go for a lunch break

Charlie wanted to go for a lunch break

Charlie wanted to go for a lunch break and he was handing the tool to his

and he was handing the tool to his

and he was handing the tool to his colleague and then all his buddies

colleague and then all his buddies

colleague and then all his buddies started to shake in a very very funny

started to shake in a very very funny

started to shake in a very very funny way one day I was watching this movie

way one day I was watching this movie

way one day I was watching this movie with my dad my dad was an engineer in

with my dad my dad was an engineer in

with my dad my dad was an engineer in one of those factories there were

one of those factories there were

one of those factories there were assembling communication devices and my

assembling communication devices and my

assembling communication devices and my dad told me that this movie is actually

dad told me that this movie is actually

dad told me that this movie is actually not very funny it actually showed the

not very funny it actually showed the

not very funny it actually showed the implication of the Second Industrial

implication of the Second Industrial

implication of the Second Industrial Revolution on the employees in this

Revolution on the employees in this

Revolution on the employees in this Factory those body shakes that I was

Factory those body shakes that I was

Factory those body shakes that I was laughing a lot a lot actually it

laughing a lot a lot actually it

laughing a lot a lot actually it indicates on a complete collapse of the

indicates on a complete collapse of the

indicates on a complete collapse of the nerve system of Charlie well I was a

nerve system of Charlie well I was a

nerve system of Charlie well I was a child I’ll didn’t understand all of that

child I’ll didn’t understand all of that

child I’ll didn’t understand all of that I was keep laughing watching these

I was keep laughing watching these

I was keep laughing watching these movies one day I joined my dad through

movies one day I joined my dad through

movies one day I joined my dad through his factory because I really want to see

his factory because I really want to see

his factory because I really want to see how this thing looks in real life

how this thing looks in real life

how this thing looks in real life and I remember the moment when we

and I remember the moment when we

and I remember the moment when we entered the manufacturing floor and

entered the manufacturing floor and

entered the manufacturing floor and there were dozens of people standing

there were dozens of people standing

there were dozens of people standing there doing small repeated tasks

there doing small repeated tasks

there doing small repeated tasks assembling the communication devices and

assembling the communication devices and

assembling the communication devices and pushing them for the machine for

pushing them for the machine for

pushing them for the machine for packaging and shipment and I was looking

packaging and shipment and I was looking

packaging and shipment and I was looking at these people and thinking so how is

at these people and thinking so how is

at these people and thinking so how is their life look like are they all gonna

their life look like are they all gonna

their life look like are they all gonna shake when they’re gonna go to lunch

shake when they’re gonna go to lunch

shake when they’re gonna go to lunch break at the really happy doing this

break at the really happy doing this

break at the really happy doing this task again and again every day I was

task again and again every day I was

task again and again every day I was really worried however my dad was quite

really worried however my dad was quite

really worried however my dad was quite happy he wanted to show me the new

happy he wanted to show me the new

happy he wanted to show me the new factory just built a new factory I said

factory just built a new factory I said

factory just built a new factory I said more people like this so the other day

more people like this so the other day

more people like this so the other day we went to the other factory and I

we went to the other factory and I

we went to the other factory and I remember the moment my dad opened the

remember the moment my dad opened the

remember the moment my dad opened the door and I saw dozens of robots

door and I saw dozens of robots

door and I saw dozens of robots everywhere there were robots were busy

everywhere there were robots were busy

everywhere there were robots were busy working assembling those communication

working assembling those communication

working assembling those communication devices very accurately representing a

devices very accurately representing a

devices very accurately representing a mazing thing but then I thought so what

mazing thing but then I thought so what

mazing thing but then I thought so what does it mean for the people from the

does it mean for the people from the

does it mean for the people from the other factory are they all gonna resist

other factory are they all gonna resist

other factory are they all gonna resist to this kind of

to this kind of

to this kind of Manufacturing are they all gonna strike

Manufacturing are they all gonna strike

Manufacturing are they all gonna strike are they gonna have financial problem

are they gonna have financial problem

are they gonna have financial problem are they also gonna lose their jobs

are they also gonna lose their jobs

are they also gonna lose their jobs because of these robots apparently I

because of these robots apparently I

because of these robots apparently I wasn’t the only person asking these kind

wasn’t the only person asking these kind

wasn’t the only person asking these kind of questions a lot of people in the

of questions a lot of people in the

of questions a lot of people in the industry worried from automation and

industry worried from automation and

industry worried from automation and robotics and many studies on the way

robotics and many studies on the way

robotics and many studies on the way educate us that actually did just good

educate us that actually did just good

educate us that actually did just good for our economy yes you need less people

for our economy yes you need less people

for our economy yes you need less people to stand and do small repeat the tasks

to stand and do small repeat the tasks

to stand and do small repeat the tasks again and again but you need more

again and again but you need more

again and again but you need more salespeople to sell the robots and you

salespeople to sell the robots and you

salespeople to sell the robots and you need more engineers to design the robots

need more engineers to design the robots

need more engineers to design the robots and you need more support people to

and you need more support people to

and you need more support people to support the robot so it is actually just

support the robot so it is actually just

support the robot so it is actually just a shift in the required skill set in the

a shift in the required skill set in the

a shift in the required skill set in the market there was no decline in a number

market there was no decline in a number

market there was no decline in a number of jobs that the market need and for

of jobs that the market need and for

of jobs that the market need and for those companies who adopted this kind of

those companies who adopted this kind of

those companies who adopted this kind of a change those country will embrace this

a change those country will embrace this

a change those country will embrace this kind of revolution they are actually the

kind of revolution they are actually the

kind of revolution they are actually the one who benefit the most they’ve seen an

one who benefit the most they’ve seen an

one who benefit the most they’ve seen an increase in productivity they’ve seen an

increase in productivity they’ve seen an

increase in productivity they’ve seen an increase in the GDP unlike other

increase in the GDP unlike other

increase in the GDP unlike other countries countries that had to fight

countries countries that had to fight

countries countries that had to fight against unions countries that didn’t

against unions countries that didn’t

against unions countries that didn’t understand that this is something good

understand that this is something good

understand that this is something good these are the one that actually lost the

these are the one that actually lost the

these are the one that actually lost the jobs these are the ones that actually

jobs these are the ones that actually

jobs these are the ones that actually work from their country moved to other

work from their country moved to other

work from their country moved to other countries who become more modern and

countries who become more modern and

countries who become more modern and more efficient having all these

more efficient having all these

more efficient having all these information when I had to choose what to

information when I had to choose what to

information when I had to choose what to learn in university for me it was quite

learn in university for me it was quite

learn in university for me it was quite obvious to go and learn Industrial

obvious to go and learn Industrial

obvious to go and learn Industrial Engineering because modern manufacturing

Engineering because modern manufacturing

Engineering because modern manufacturing is really what I like I have family of a

is really what I like I have family of a

is really what I like I have family of a lot many engineers vascular engineering

lot many engineers vascular engineering

lot many engineers vascular engineering Electrical Engineering from structural

Electrical Engineering from structural

Electrical Engineering from structural engineering but for me and that’s what

engineering but for me and that’s what

engineering but for me and that’s what engineering was the preferred job so I

engineering was the preferred job so I

engineering was the preferred job so I started my studies and pretty early

started my studies and pretty early

started my studies and pretty early everyone start to talk about the next

everyone start to talk about the next

everyone start to talk about the next revolution that is coming a big change

revolution that is coming a big change

revolution that is coming a big change is gonna happen in the market you don’t

is gonna happen in the market you don’t

is gonna happen in the market you don’t need to go to retail store anymore

need to go to retail store anymore

need to go to retail store anymore everything you can buy online you don’t

everything you can buy online you don’t

everything you can buy online you don’t need to go to sod to see the doctor in

need to go to sod to see the doctor in

need to go to sod to see the doctor in the clinic you can actually top over the

the clinic you can actually top over the

the clinic you can actually top over the video I look at that and say well I

video I look at that and say well I

video I look at that and say well I don’t really know what it is but if this

don’t really know what it is but if this

don’t really know what it is but if this is something really big I better learn

is something really big I better learn

is something really big I better learn that and actually be ready when the

that and actually be ready when the

that and actually be ready when the world is going to move to this world so

world is going to move to this world so

world is going to move to this world so I added to my studies a degree in

I added to my studies a degree in

I added to my studies a degree in information system and computer science

information system and computer science

information system and computer science and that obviously turned to be the

and that obviously turned to be the

and that obviously turned to be the internet the way we know it today four

internet the way we know it today four

internet the way we know it today four years after after I graduated

years after after I graduated

years after after I graduated I joined Intel for me Intel was a

I joined Intel for me Intel was a

I joined Intel for me Intel was a perfect combination from modern

perfect combination from modern

perfect combination from modern manufacturing and technology and the

manufacturing and technology and the

manufacturing and technology and the first day I came to Intel I remember the

first day I came to Intel I remember the

first day I came to Intel I remember the moment I look at the floor and it looks

moment I look at the floor and it looks

moment I look at the floor and it looks like this once again

like this once again

like this once again dozens of people in front of machine

dozens of people in front of machine

dozens of people in front of machine augmenting it with small repeated tasks

augmenting it with small repeated tasks

augmenting it with small repeated tasks all day long this time it was with data

all day long this time it was with data

all day long this time it was with data this time they were looking on the chart

this time they were looking on the chart

this time they were looking on the chart earth goes up and the chart that goes

earth goes up and the chart that goes

earth goes up and the chart that goes down and trying to explain the meaning

down and trying to explain the meaning

down and trying to explain the meaning what happened when these two charts are

what happened when these two charts are

what happened when these two charts are intersecting I look at it and say that’s

intersecting I look at it and say that’s

intersecting I look at it and say that’s that’s of course looks familiar from the

that’s of course looks familiar from the

that’s of course looks familiar from the days of Charlie and manufacturing so how

days of Charlie and manufacturing so how

days of Charlie and manufacturing so how this is going to evolve how automation

this is going to evolve how automation

this is going to evolve how automation gonna apply to this kind of people to

gonna apply to this kind of people to

gonna apply to this kind of people to the data revolution today everyone is

the data revolution today everyone is

the data revolution today everyone is talking about artificial intelligence

talking about artificial intelligence

talking about artificial intelligence what is artificial intelligence what

what is artificial intelligence what

what is artificial intelligence what exactly does it mean for us we as human

exactly does it mean for us we as human

exactly does it mean for us we as human were probably not the strongest in this

were probably not the strongest in this

were probably not the strongest in this universe we were probably not the

universe we were probably not the

universe we were probably not the fastest in this universe but most likely

fastest in this universe but most likely

fastest in this universe but most likely we are the most intelligent in this

we are the most intelligent in this

we are the most intelligent in this universe so if someone can really create

universe so if someone can really create

universe so if someone can really create artificial intelligence what does it

artificial intelligence what does it

artificial intelligence what does it mean for us if you ask the leaders of

mean for us if you ask the leaders of

mean for us if you ask the leaders of the world the political leaders will

the world the political leaders will

the world the political leaders will tell you well if you’re going to own

tell you well if you’re going to own

tell you well if you’re going to own that you can control the whole world

that you can control the whole world

that you can control the whole world well that’s the political view of that

well that’s the political view of that

well that’s the political view of that but if you ask the tech leaders of the

but if you ask the tech leaders of the

but if you ask the tech leaders of the world they will start to scare you and

world they will start to scare you and

world they will start to scare you and tell you we need to be very careful with

tell you we need to be very careful with

tell you we need to be very careful with this type of a technologies so a recent

this type of a technologies so a recent

this type of a technologies so a recent study actually put that into a test and

study actually put that into a test and

study actually put that into a test and actually tried to evaluate what is the

actually tried to evaluate what is the

actually tried to evaluate what is the IQ level of these algorithms comparing

IQ level of these algorithms comparing

IQ level of these algorithms comparing to humans and the results are quite

to humans and the results are quite

to humans and the results are quite amazing they’ve evaluated a technology

amazing they’ve evaluated a technology

amazing they’ve evaluated a technology from Google from Microsoft from Apple

from Google from Microsoft from Apple

from Google from Microsoft from Apple where billions of dollars have been

where billions of dollars have been

where billions of dollars have been invested in artificial intelligence and

invested in artificial intelligence and

invested in artificial intelligence and the results are amazing because we can

the results are amazing because we can

the results are amazing because we can see that the IQ level of these

see that the IQ level of these

see that the IQ level of these algorithms are still below a

algorithms are still below a

algorithms are still below a six-year-old child and even if they will

six-year-old child and even if they will

six-year-old child and even if they will continue to develop and even if they

continue to develop and even if they

continue to develop and even if they will be breakthrough and they will need

will be breakthrough and they will need

will be breakthrough and they will need a couple of breakthrough to have a big

a couple of breakthrough to have a big

a couple of breakthrough to have a big progress still there is a way to go to

progress still there is a way to go to

progress still there is a way to go to reach the IQ level of 18 years old

reach the IQ level of 18 years old

reach the IQ level of 18 years old person so I will really scare from that

person so I will really scare from that

person so I will really scare from that do we really think any 18 year old

do we really think any 18 year old

do we really think any 18 year old person can rule the world I truly

person can rule the world I truly

person can rule the world I truly believe that artificial intelligence

believe that artificial intelligence

believe that artificial intelligence this stage it’s a very very early stage

this stage it’s a very very early stage

this stage it’s a very very early stage and there’s still a way

and there’s still a way

and there’s still a way a long way to go and this is where we

a long way to go and this is where we

a long way to go and this is where we are today with artificial intelligence

are today with artificial intelligence

are today with artificial intelligence and we better call it different a I for

and we better call it different a I for

and we better call it different a I for me is not artificial intelligence it’s

me is not artificial intelligence it’s

me is not artificial intelligence it’s more likely augmented intelligence this

more likely augmented intelligence this

more likely augmented intelligence this is where the first time what the machine

is where the first time what the machine

is where the first time what the machine will augment the human rather than a

will augment the human rather than a

will augment the human rather than a human augment the machine with extra

human augment the machine with extra

human augment the machine with extra toss augment intelligence is what’s

toss augment intelligence is what’s

toss augment intelligence is what’s going to add a lot of productivity to

going to add a lot of productivity to

going to add a lot of productivity to our environment and yes there will be

our environment and yes there will be

our environment and yes there will be couple of occupation where there’s going

couple of occupation where there’s going

couple of occupation where there’s going to be completely automated they will be

to be completely automated they will be

to be completely automated they will be completely automated by this type of

completely automated by this type of

completely automated by this type of algorithms but it’s going to be just

algorithms but it’s going to be just

algorithms but it’s going to be just below 5% for about 60% of the occupation

below 5% for about 60% of the occupation

below 5% for about 60% of the occupation augmentative telogen s– will be able to

augmentative telogen s– will be able to

augmentative telogen s– will be able to automate 30 percent of the world imagine

automate 30 percent of the world imagine

automate 30 percent of the world imagine 30 percent of your work can be automated

30 percent of your work can be automated

30 percent of your work can be automated in an average weekday it means you’re

in an average weekday it means you’re

in an average weekday it means you’re gonna have one and a half days available

gonna have one and a half days available

gonna have one and a half days available for you so you can go further and learn

for you so you can go further and learn

for you so you can go further and learn something new you can be more productive

something new you can be more productive

something new you can be more productive or you can go and have some rest and

or you can go and have some rest and

or you can go and have some rest and release all the stress from the busy

release all the stress from the busy

release all the stress from the busy days that we all have our mentally

days that we all have our mentally

days that we all have our mentally telchines will have a lot of benefits

telchines will have a lot of benefits

telchines will have a lot of benefits for our market and industry and we will

for our market and industry and we will

for our market and industry and we will look on each and every industry the

look on each and every industry the

look on each and every industry the contribution to the growth of them can

contribution to the growth of them can

contribution to the growth of them can be phenomenal let’s take for example

be phenomenal let’s take for example

be phenomenal let’s take for example healthcare doctors are spending 10 years

healthcare doctors are spending 10 years

healthcare doctors are spending 10 years just learning medicine but then end up

just learning medicine but then end up

just learning medicine but then end up 70% of the time meeting patient and

70% of the time meeting patient and

70% of the time meeting patient and running diagnoses instead of doing

running diagnoses instead of doing

running diagnoses instead of doing research we can take that part and give

research we can take that part and give

research we can take that part and give it to augmented intelligence doing all

it to augmented intelligence doing all

it to augmented intelligence doing all the diagnostic and giving the doctor

the diagnostic and giving the doctor

the diagnostic and giving the doctor more time to do research finding a cure

more time to do research finding a cure

more time to do research finding a cure for the cancer same for the automotive

for the cancer same for the automotive

for the cancer same for the automotive we all know about autonomous car but

we all know about autonomous car but

we all know about autonomous car but imagine I can have a business with

imagine I can have a business with

imagine I can have a business with tracks all around this continent without

tracks all around this continent without

tracks all around this continent without having a single driver and it will be a

having a single driver and it will be a

having a single driver and it will be a very successful business go for

very successful business go for

very successful business go for education professor on university

education professor on university

education professor on university teaching their student year after year

teaching their student year after year

teaching their student year after year the same topic expect all student to

the same topic expect all student to

the same topic expect all student to have this the same progress and pass the

have this the same progress and pass the

have this the same progress and pass the exams our credit intelligence can

exams our credit intelligence can

exams our credit intelligence can actually tailor the process for each of

actually tailor the process for each of

actually tailor the process for each of the students and make sure they are

the students and make sure they are

the students and make sure they are progressing in their own pace but then

progressing in their own pace but then

progressing in their own pace but then release the time for the professor to go

release the time for the professor to go

release the time for the professor to go and do more research and find more

and do more research and find more

and do more research and find more interesting topic and innovation

interesting topic and innovation

interesting topic and innovation for their students they’re gonna be a

for their students they’re gonna be a

for their students they’re gonna be a great contribution in each of the

great contribution in each of the

great contribution in each of the markets and overall for countries and

markets and overall for countries and

markets and overall for countries and industry that will adopt and embraced

industry that will adopt and embraced

industry that will adopt and embraced augmented intelligence they will see an

augmented intelligence they will see an

augmented intelligence they will see an increase in GDP they will see more

increase in GDP they will see more

increase in GDP they will see more benefit for their environment we will

benefit for their environment we will

benefit for their environment we will have a better life having those kind of

have a better life having those kind of

have a better life having those kind of innovations and I truly believe that the

innovations and I truly believe that the

innovations and I truly believe that the Augmented workforce of the future will

Augmented workforce of the future will

Augmented workforce of the future will be a perfect combination between AI and

be a perfect combination between AI and

be a perfect combination between AI and human each focusing on what they know to

human each focusing on what they know to

human each focusing on what they know to do best and together working for a

do best and together working for a

do best and together working for a better life and a better economy so

better life and a better economy so

better life and a better economy so remember next time when someone asks you

remember next time when someone asks you

remember next time when someone asks you about AI ask yourself a question what

about AI ask yourself a question what

about AI ask yourself a question what would you do with an extra one and a

would you do with an extra one and a

would you do with an extra one and a half days a week thank you very much

half days a week thank you very much

half days a week thank you very much [Applause]

[Applause]

[Applause] [Music]

”

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