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The Emerging Era of Cognitive Computing | Rob High | TEDxUIUC


thank you very much let me start by

thank you very much let me start by introducing you to somebody who I find

introducing you to somebody who I find

introducing you to somebody who I find really fascinating a gentleman by the

really fascinating a gentleman by the

really fascinating a gentleman by the name of brodny Brooks mr. Brooks was a

name of brodny Brooks mr. Brooks was a

name of brodny Brooks mr. Brooks was a entrepreneur a roboticist in fact he was

entrepreneur a roboticist in fact he was

entrepreneur a roboticist in fact he was one of the founders of AI robotics you

one of the founders of AI robotics you

one of the founders of AI robotics you may have heard that he was also a

may have heard that he was also a

may have heard that he was also a director of the MIT artificial

director of the MIT artificial

director of the MIT artificial intelligence lab and his seminal work in

intelligence lab and his seminal work in

intelligence lab and his seminal work in the area of AI during the 1980s in the

the area of AI during the 1980s in the

the area of AI during the 1980s in the 1990s he said of artificial intelligence

1990s he said of artificial intelligence

1990s he said of artificial intelligence since 1991 paper a reasonable

since 1991 paper a reasonable

since 1991 paper a reasonable characterization of the general field is

characterization of the general field is

characterization of the general field is that is intended to make computers do

that is intended to make computers do

that is intended to make computers do things that when done by people could be

things that when done by people could be

things that when done by people could be characterized as having indicated

characterized as having indicated

characterized as having indicated intelligence we’re seeing the emergence

intelligence we’re seeing the emergence

intelligence we’re seeing the emergence of a new kind of computing something

of a new kind of computing something

of a new kind of computing something that we call cognitive computing

that we call cognitive computing

that we call cognitive computing sometimes also refer to others as AI or

sometimes also refer to others as AI or

sometimes also refer to others as AI or artificial intelligence movies depict a

artificial intelligence movies depict a

artificial intelligence movies depict a eyes as being either helpful or humorous

eyes as being either helpful or humorous

eyes as being either helpful or humorous soulful sometimes even malevolent many

soulful sometimes even malevolent many

soulful sometimes even malevolent many of these movies are merely exercises in

of these movies are merely exercises in

of these movies are merely exercises in getting us to think about our own cells

getting us to think about our own cells

getting us to think about our own cells in a different way I’m here to suggest

in a different way I’m here to suggest

in a different way I’m here to suggest to you that cognitive computing is

to you that cognitive computing is

to you that cognitive computing is really about all of these and none of

really about all of these and none of

really about all of these and none of these the cognitive computing is really

these the cognitive computing is really

these the cognitive computing is really about getting us to extend our own human

about getting us to extend our own human

about getting us to extend our own human cognitive reach it’s not about being

cognitive reach it’s not about being

cognitive reach it’s not about being better than humans it’s about making

better than humans it’s about making

better than humans it’s about making humans better

humans better

humans better in 1947 at the center of advanced

in 1947 at the center of advanced

in 1947 at the center of advanced studies Jonathan Benton ointment began

studies Jonathan Benton ointment began

studies Jonathan Benton ointment began work on what has become the blueprint

work on what has become the blueprint

work on what has become the blueprint for all modern computing architectures

for all modern computing architectures

for all modern computing architectures the binomial architecture is at the

the binomial architecture is at the

the binomial architecture is at the heart of virtually every computer that

heart of virtually every computer that

heart of virtually every computer that we use whether those largest mainframes

we use whether those largest mainframes

we use whether those largest mainframes or the most common server or laptop

or the most common server or laptop

or the most common server or laptop computers or every one of our

computers or every one of our

computers or every one of our smartphones Clara his wife said of

smartphones Clara his wife said of

smartphones Clara his wife said of Johnny he wanted to create a fast

Johnny he wanted to create a fast

Johnny he wanted to create a fast electronic completely automatic

electronic completely automatic

electronic completely automatic all-purpose computing machine that could

all-purpose computing machine that could

all-purpose computing machine that could answer as many questions as there are

answer as many questions as there are

answer as many questions as there are people who could think of asking them

people who could think of asking them

people who could think of asking them even then 70 years ago engineers

even then 70 years ago engineers

even then 70 years ago engineers imagined that computers would possess

imagined that computers would possess

imagined that computers would possess artificial intelligence the problem is

artificial intelligence the problem is

artificial intelligence the problem is that von Neumann was a mathematician he

that von Neumann was a mathematician he

that von Neumann was a mathematician he viewed the world in terms of

viewed the world in terms of

viewed the world in terms of mathematical models you can create a

mathematical models you can create a

mathematical models you can create a model that describes the thing you’re

model that describes the thing you’re

model that describes the thing you’re working on then you can use it to answer

working on then you can use it to answer

working on then you can use it to answer questions about that thing consequently

questions about that thing consequently

questions about that thing consequently he created a computer that processes

he created a computer that processes

he created a computer that processes mathematical models that’s what a

mathematical models that’s what a

mathematical models that’s what a software program is it’s the symbolic

software program is it’s the symbolic

software program is it’s the symbolic representation of mathematical logic the

representation of mathematical logic the

representation of mathematical logic the problem is that the world is we actually

problem is that the world is we actually

problem is that the world is we actually experience it is very hard to model

experience it is very hard to model

experience it is very hard to model mathematically sure the underlying

mathematically sure the underlying

mathematically sure the underlying science of physics and chemistry and

science of physics and chemistry and

science of physics and chemistry and biology are subject to the rules of

biology are subject to the rules of

biology are subject to the rules of mathematical regularity but that’s not

mathematical regularity but that’s not

mathematical regularity but that’s not what we actually experience it’s hard to

what we actually experience it’s hard to

what we actually experience it’s hard to model our language our thoughts our

model our language our thoughts our

model our language our thoughts our feelings our emotions our motivations

feelings our emotions our motivations

feelings our emotions our motivations with clinical precision we’re complex

with clinical precision we’re complex

with clinical precision we’re complex beings with complex relationships to the

beings with complex relationships to the

beings with complex relationships to the world around us

world around us

world around us we’re subjected to far too many

we’re subjected to far too many

we’re subjected to far too many conditions to expect to ever be able to

conditions to expect to ever be able to

conditions to expect to ever be able to create and capture all the rules that

create and capture all the rules that

create and capture all the rules that govern that experience even if we could

govern that experience even if we could

govern that experience even if we could capture the millions of rules that

capture the millions of rules that

capture the millions of rules that represent the things that we see and

represent the things that we see and

represent the things that we see and hear and feel and taste and smell or the

hear and feel and taste and smell or the

hear and feel and taste and smell or the conditions that define how we go about

conditions that define how we go about

conditions that define how we go about creating a new thought or expressing an

creating a new thought or expressing an

creating a new thought or expressing an idea by the time we got done writing

idea by the time we got done writing

idea by the time we got done writing down all those rules they would change

down all those rules they would change

down all those rules they would change we learn something new that would change

we learn something new that would change

we learn something new that would change our understanding of those conditions we

our understanding of those conditions we

our understanding of those conditions we could never maintain such a model no to

could never maintain such a model no to

could never maintain such a model no to create an artificially intelligent

create an artificially intelligent

create an artificially intelligent computer requires a fundamentally

computer requires a fundamentally

computer requires a fundamentally different approach in fact to capture

different approach in fact to capture

different approach in fact to capture something that is able to reason about

something that is able to reason about

something that is able to reason about the world exactly the way that we do in

the world exactly the way that we do in

the world exactly the way that we do in essence would require that we replicate

essence would require that we replicate

essence would require that we replicate the human mind in all of its finest

the human mind in all of its finest

the human mind in all of its finest details can we do that maybe but what’s

details can we do that maybe but what’s

details can we do that maybe but what’s the point of that we have seven point

the point of that we have seven point

the point of that we have seven point four billion human minds in the world

four billion human minds in the world

four billion human minds in the world now and frankly much more fun and

now and frankly much more fun and

now and frankly much more fun and interesting ways of creating more of

interesting ways of creating more of

interesting ways of creating more of them what economic value could possibly

them what economic value could possibly

them what economic value could possibly ever come from capturing and replicating

ever come from capturing and replicating

ever come from capturing and replicating the human mind in a machine instead we

the human mind in a machine instead we

the human mind in a machine instead we should be embracing the differences

should be embracing the differences

should be embracing the differences between man and machine on the other

between man and machine on the other

between man and machine on the other hand there is value in thinking about AI

hand there is value in thinking about AI

hand there is value in thinking about AI in the same way we have every other tool

in the same way we have every other tool

in the same way we have every other tool that humans have created for the last

that humans have created for the last

that humans have created for the last ten thousand years that is as an

ten thousand years that is as an

ten thousand years that is as an extension to our own human strengths in

extension to our own human strengths in

extension to our own human strengths in the same way that pulleys and levers and

the same way that pulleys and levers and

the same way that pulleys and levers and hammers and shovels and hydraulics

hammers and shovels and hydraulics

hammers and shovels and hydraulics amplify our human muscle augment

amplify our human muscle augment

amplify our human muscle augment intelligence can amplify our mental

intelligence can amplify our mental

intelligence can amplify our mental muscle there’s a lot of things that the

muscle there’s a lot of things that the

muscle there’s a lot of things that the human mind as well recognizing faces in

human mind as well recognizing faces in

human mind as well recognizing faces in a crowd communicating ideas feeling

a crowd communicating ideas feeling

a crowd communicating ideas feeling imagining solving our problems but we

imagining solving our problems but we

imagining solving our problems but we also have our limitations there’s only

also have our limitations there’s only

also have our limitations there’s only so much that we can read there’s only

so much that we can read there’s only

so much that we can read there’s only something to that that we can assimilate

something to that that we can assimilate

something to that that we can assimilate there’s only something to that that we

there’s only something to that that we

there’s only something to that that we can remember and there’s only something

can remember and there’s only something

can remember and there’s only something to that that we can recall under

to that that we can recall under

to that that we can recall under pressure argument intelligence not

pressure argument intelligence not

pressure argument intelligence not artificial intelligence can help us with

artificial intelligence can help us with

artificial intelligence can help us with all of that you know the Watson for

all of that you know the Watson for

all of that you know the Watson for jeopardy machine could read 200 million

jeopardy machine could read 200 million

jeopardy machine could read 200 million pages of literature to find answers to

pages of literature to find answers to

pages of literature to find answers to complex factoid questions in less than

complex factoid questions in less than

complex factoid questions in less than three seconds

three seconds

three seconds questions that were deliberately full of

questions that were deliberately full of

questions that were deliberately full of subtlety in innuendo and puns

subtlety in innuendo and puns

subtlety in innuendo and puns misdirection cognitive computing can

misdirection cognitive computing can

misdirection cognitive computing can help us see alternatives that we might

help us see alternatives that we might

help us see alternatives that we might not find on our own

not find on our own

not find on our own it can help us see through our biases to

it can help us see through our biases to

it can help us see through our biases to other points of view that might

other points of view that might

other points of view that might otherwise ludus it can inspire us to new

otherwise ludus it can inspire us to new

otherwise ludus it can inspire us to new ideas cognitive computing can help us

ideas cognitive computing can help us

ideas cognitive computing can help us get back to doing what we do really well

get back to doing what we do really well

get back to doing what we do really well that is thinking you know one time I

that is thinking you know one time I

that is thinking you know one time I asked Watson who was the first black

asked Watson who was the first black

asked Watson who was the first black president of course I expect him to

president of course I expect him to

president of course I expect him to answer Barack Obama to my surprise

answer Barack Obama to my surprise

answer Barack Obama to my surprise Watson’s top choice was Bill Clinton

when I asked why I found out that

when I asked why I found out that President Clinton was considered to be

President Clinton was considered to be

President Clinton was considered to be the first candidate to campaign

the first candidate to campaign

the first candidate to campaign specifically in support of representing

specifically in support of representing

specifically in support of representing under represented minorities his cabinet

under represented minorities his cabinet

under represented minorities his cabinet was filled with highly skilled and

was filled with highly skilled and

was filled with highly skilled and diverse leaders and Toni Morrison

diverse leaders and Toni Morrison

diverse leaders and Toni Morrison referred to him as the first black

referred to him as the first black

referred to him as the first black president in 1998 in recognition of his

president in 1998 in recognition of his

president in 1998 in recognition of his support for minority concerns by the way

support for minority concerns by the way

support for minority concerns by the way Watson second choice was Nelson Mandela

Watson second choice was Nelson Mandela

Watson second choice was Nelson Mandela notice I didn’t say anything about which

notice I didn’t say anything about which

notice I didn’t say anything about which country and finally Barack Obama was

country and finally Barack Obama was

country and finally Barack Obama was third but this illustrates how a

third but this illustrates how a

third but this illustrates how a cognitive computer can alter our

cognitive computer can alter our

cognitive computer can alter our perspective you know it’s worth noting

perspective you know it’s worth noting

perspective you know it’s worth noting that our own intelligence is really two

that our own intelligence is really two

that our own intelligence is really two things our ability to reason

things our ability to reason

things our ability to reason intellectually and our ability to

intellectually and our ability to

intellectually and our ability to express the results of that reasoning

express the results of that reasoning

express the results of that reasoning you know we can have internal

you know we can have internal

you know we can have internal intelligence reasoning about the hardest

intelligence reasoning about the hardest

intelligence reasoning about the hardest problems in the world perhaps even

problems in the world perhaps even

problems in the world perhaps even better than anybody else in our own mind

better than anybody else in our own mind

better than anybody else in our own mind but if we don’t have the ability to

but if we don’t have the ability to

but if we don’t have the ability to express the results of that cogitation

express the results of that cogitation

express the results of that cogitation than so what no one will ever know is to

than so what no one will ever know is to

than so what no one will ever know is to be any more intelligent than a doorstop

be any more intelligent than a doorstop

be any more intelligent than a doorstop this is the same with cognitive

this is the same with cognitive

this is the same with cognitive computing

computing

computing for it to amplify our own cognition the

for it to amplify our own cognition the

for it to amplify our own cognition the AI system needs to be able to understand

AI system needs to be able to understand

AI system needs to be able to understand us in our world it needs to be able to

us in our world it needs to be able to

us in our world it needs to be able to reason about problems in a way that are

reason about problems in a way that are

reason about problems in a way that are relevant to our own conclusions it needs

relevant to our own conclusions it needs

relevant to our own conclusions it needs to be able to learn without being

to be able to learn without being

to be able to learn without being programmed

programmed

programmed and it needs to be able to interact with

and it needs to be able to interact with

and it needs to be able to interact with us in a way that informs and inspires us

us in a way that informs and inspires us

us in a way that informs and inspires us to better decisions just as importantly

to better decisions just as importantly

to better decisions just as importantly for to influence our creativity the AI

for to influence our creativity the AI

for to influence our creativity the AI system has to have a sort of presence

system has to have a sort of presence

system has to have a sort of presence with us that is it has to have survey

with us that is it has to have survey

with us that is it has to have survey cognitive experience something that

cognitive experience something that

cognitive experience something that enables us to recognize its own form of

enables us to recognize its own form of

enables us to recognize its own form of televisions with the richness and the

televisions with the richness and the

televisions with the richness and the nuance of human communication keep in

nuance of human communication keep in

nuance of human communication keep in mind that our own cognitive expression

mind that our own cognitive expression

mind that our own cognitive expression is not confined just to words we

is not confined just to words we

is not confined just to words we vocalizes words we use intonation and

vocalizes words we use intonation and

vocalizes words we use intonation and cadence and inflection and timbre to

cadence and inflection and timbre to

cadence and inflection and timbre to punctuate those words to draw attention

punctuate those words to draw attention

punctuate those words to draw attention to the importance that certain words

to the importance that certain words

to the importance that certain words have over others we also use body

have over others we also use body

have over others we also use body language facial expression eye contact

language facial expression eye contact

language facial expression eye contact arm and hand gestures body movement all

arm and hand gestures body movement all

arm and hand gestures body movement all to convey and reinforce the meaning of

to convey and reinforce the meaning of

to convey and reinforce the meaning of what we’re saying watson has the ability

what we’re saying watson has the ability

what we’re saying watson has the ability to determine our personality and our

to determine our personality and our

to determine our personality and our emotional tone and uses this to alter

emotional tone and uses this to alter

emotional tone and uses this to alter its conversational direction with us

its conversational direction with us

its conversational direction with us actually we all have this ability even

actually we all have this ability even

actually we all have this ability even if we do it subconsciously there’s a

if we do it subconsciously there’s a

if we do it subconsciously there’s a subtle and important difference between

subtle and important difference between

subtle and important difference between somebody who is angry and somebody who

somebody who is angry and somebody who

somebody who is angry and somebody who is disgusted they’re both negative but

is disgusted they’re both negative but

is disgusted they’re both negative but somebody who is angry is also irrational

somebody who is angry is also irrational

somebody who is angry is also irrational you can’t just reason with them

you can’t just reason with them

you can’t just reason with them logically you have to sympathize with

logically you have to sympathize with

logically you have to sympathize with them first somebody that is disgusted

them first somebody that is disgusted

them first somebody that is disgusted maybe they don’t like you but they’ve

maybe they don’t like you but they’ve

maybe they don’t like you but they’ve rationalized that they know why they’re

rationalized that they know why they’re

rationalized that they know why they’re disgusted

disgusted

disgusted we recognize this intuitively and we act

we recognize this intuitively and we act

we recognize this intuitively and we act accordingly

accordingly

accordingly all of these things are essential to our

all of these things are essential to our

all of these things are essential to our experience and they’re essential for a

experience and they’re essential for a

experience and they’re essential for a cognitive system to have a full impact

cognitive system to have a full impact

cognitive system to have a full impact on us to amplify our cognition we are

on us to amplify our cognition we are

on us to amplify our cognition we are entering a new era an era that will be

entering a new era an era that will be

entering a new era an era that will be defined by how much more we are informed

defined by how much more we are informed

defined by how much more we are informed by how deeply reason by how many new

by how deeply reason by how many new

by how deeply reason by how many new significant ideas were able to create by

significant ideas were able to create by

significant ideas were able to create by how well we’re able to overcome our most

how well we’re able to overcome our most

how well we’re able to overcome our most important and complex problems all of

important and complex problems all of

important and complex problems all of which is going to be made possible by

which is going to be made possible by

which is going to be made possible by this new tool that we call cognitive

this new tool that we call cognitive

this new tool that we call cognitive computing thank you

computing thank you

computing thank you [Applause]

[Applause]

[Applause] [Music]

[Music]

[Music] you

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