How AI Saves Humanity Thousand Years of Work
[Music]
artificial intelligence
this term has been buzzwords these days
right
but what’s on your mind when you heard
about this term digital intelligence
for me it’s going to be like a super
highly intelligent
machine like wally
what is a what form of the robot that’s
very smart
funny and also likes robot so i really
like alienware right
and if we are on the same generation our
childhood might be accompanied by
this robot it’s a highly super
intelligent robot
robotic cat from the future doraemon yup
you heard the rhyme
if you think about it it’s actually
super intelligent
robotics because it can
solve any kind of problems it can
communicate with the humans very well
it also has feelings so
it’s one of the form that’s a super
intelligent robot right
so to be honest when i was a childhood i
was
i dream of having a door i want by my
side yeah
and another thing about ai could be
jarvis
it’s the ai that helps tony stark build
iron man right it also manages house
and another ai is also maybe if you
think
from another science fiction it’s like
terminator the human killing machines
a network that they try uh try to kill
the whole humanities
is this kind of so what are the same
things between all of these robots
all of them are highly intelligent ai
right they have specific feelings
they are general uh overall they are
very smart
but what about our current state of ai
in the world
if i quote from john kuhn he’s a
facebook ai director
and he’s one of the uh one of from the
three
publishers of the deep learning the
godfather of deep learning together with
joseo bengio
and joffrey hinson he said that we’re
very far from building truly intelligent
machines
and in fact these experts say that our
current ai
is not even as smart as a rat yup you
heard it right
not even a smart ass thread because the
current ai can only do very specific
things
let me give you one example right so
imagine that we already have a tons
of data of pictures right so here i have
pictures that label as airplane
automobile bird cat etc and i wanted to
build a neural network model
so it is one form of of ai
i wanted to build an image
classification so i trained this model
basically to understand what kind of
picture is it
right so from all of this model i fit
into this neural network
and i get a model trained and if i give
a new picture
to this neural network model it will try
to classify
what kind of picture it is okay it
predicts tracks
perfect right but what if i give it
another picture
a handwritten image picture can it still
detect what kind of vector is this no
because
we train this model using a truck data
card data
births etc but not a handwritten image
so this neural network cannot predict
something that they are not trained with
right
so back again our current
eyes can only do very specific thing
very specific thing that’s first
and it’s only as good as what kind of
data you fit it into
but given of this specifics ai actually
has saved us
a lot of time what i mean by a lot it’s
really actually a lot
even if i have to accumulate it’s like a
thousand years
i’m not excited let me tell you in uh
after a bit yep this
receives it saves us time a lot
okay let’s take a look back at this
image classification model right
uh what about this classification model
uh now i try to train a toddler i would
like to
train him or her uh basically to
classify what kind of image is this
imagine how long that you uh you will
take to train this toddler
to basically to classify whether this is
a airplane automobile
car trucks could it take weeks
maybe depends on the age right could it
take months
could be or maybe even years but the ai
can train them in just a very snap just
very
very instantly let me give one one
another example
so another example of ai is this one
a machine learning model called alphago
it was built by deepmind
in 2016 and in 2016
this ai able to beat the human world
champion of go
lizido and are you curious how he can
train to beat the
human world champion basically it learns
about a hundred thousand human games of
gold
amazing right and so if we have
if the one average of the human game of
go
is played uh maybe 90 minutes 90 minutes
to what two hours
so it’s about 22 years worth of
experience of playing go
can you imagine in 22 years i’m able to
complete my
elementary high school elementary school
i go to junior high school
senior high school i complete my
bachelor degree
i even able to complete my master’s
degree in that time
and yes so uh but
imagine can you guess how long does it
take for this
ai to trend these 22 years
in just three weeks it’s amazing right
the 22 years worth of experience of
playing go
can be learned by this ai just in three
weeks imagine that
uh so it’s until it able to uh
it’s able to be the human world champion
amazing right
let me give you one another example an
example that also built by this deepmind
is open ai5 it tried to learn dota 2
about 10 000 years of experience just in
10 months
and it has been tested that this open i5
it has a winning rate about 99.4 percent
against the professional player of dota
it’s so amazing though this is the thing
that ai can
really be have a superhuman performance
if they are given a very specific task
if they’re given a very good amount of
data
okay but ai is actually not just playing
games
it’s actually everywhere around us even
in your pocket
me give an example instagram our daily
apps it’s newspapers
actually tailored to the preferences how
can how
how does it do that right because
it knows what kind of pictures that you
like it knows what kind of post that you
commented on
it knows how long do you stare at this
kind of picture
oh yes it knows how long you start at
one picture if you look
into that puppy picture for one minute
it knows if you look into it
watch this video about uh a cat get
swimming or maybe
poppy swimming it knows how long that
you stare at this video
so all of these are tailored they built
an ai
basically to make you more engaged into
this app right
so it’s it’s amazing that’s making you
more engaged on this app
so have you if you if you’re like me
have you ever felt that you just plan to
scroll instagram before you sleep
initially you try to uh just scrolling
for like 15 minutes
and then turns out it’s been hours and
sometimes maybe
it’s already morning and then did you
just scrolling for instagram
right so you’re not even aware that
you have been that engaged to this app
because their ai has
makes you uh really engaged with
your feed because it’s been tailored to
your preferences
but not just instagram let me give give
you one another example
from one of the right healing app from a
company
from a country is going so in 2010
when when project first launched it’s
very manual right
when there is a customer need to order a
booking
they have to call the customer agent
right hey
i need uh i need someone to pick me up
at that’s a certain location
okay and then the customer agents reply
and say okay let me
allocate one of the driver for you and
yeah
then the the driver can come to you pick
you up
and done and in 2016 actually
change uh they launched the first mobile
app right
so at that time they changed from the
human agent
into a more automated and nx
they’re using ai to allocate drivers to
customers
so imagine how how much time do they
save even this
let’s say there are millions of bookings
every day and for each booking
it’s handled about 20 to 30 minutes by a
human agent
right and so if you in total it takes
every day takes like 50 years if there’s
only one person who manages all of the
spooky
yeah so imagine that there’s a team of
50 agents it’s going to take them
the whole year just to allocate the
booking on that day
you’re getting it see so ai has saved us
50 years every day so imagine this it
just
lasts for 20 days it’s been thousand
years it’s amazing right
another one example is uh they use ai
to make the platform safe for everyone
so they use the data basically to
look into the human behavior one of the
examples is
the human movement so you collect from
the gps data points
there’s about billions of data points
every day right
so let me give you an example does it
make sense if
one day there is a user in command and
then on the next minute
suddenly it jumped to anchor just in one
minute they jump about 20 kilometers
away
it doesn’t make sense right uh
definitely it’s not
uh honest it’s not an honest user uh
they may be trying to try
to uh scam or they’re trying to do bad
things to
uh or the users on the platform and
so here we have to tackle all of these
kind of things right
but imagine that this kind of data
points have to be eyeballed by
human validator one by one can you
imagine how many years will it take
right and with an ai it actually saves
us about
19 years every day to protect millions
of users
it’s amazing right so if you combine it
with
how ai has allocated drivers
it saved about 70 years one day for one
single day
so it’s amazing right i i actually saved
us
uh more times than you can ever imagine
actually and
and not just saving time it’s also saved
lives
so recently there is a news from mit
that
they tried to collect about 70 000 of
audio recordings
these every audio recordings have the
audio of people caffeine yeah
your hair correctly so caffeine so from
the 70 000 recordings
actually there was about 200 thousands
of
caffeine sampled audio from this data
they tried to
create an ai that is able to predict
whether someone
is uh coffee positive or not
and guess what their ai is even able to
predict what 98.5
whether someone has coveted or not just
by the cough ideology
it’s amazing right so imagine that
including asymptomatic
so it’s not just a symptom as a guy that
already has shown symptoms but also this
asymptomatic
people so imagine that this kind of ai
has been implemented in your device
imagine how uh it can detect the covet
this earlier than than we possibly think
right
so if if someone can be detected much
earlier they can be
make a self-isolation hence uh they
don’t need
they can prevent to spread the disease
uh
more wider so it’s pretty amazing
another example is the heart attack uh
detection so one company
in copenhagen called corti they analyzed
about 161 thousand
of emergency calls so those are the
audio the call to the ambulance hey i’m
actually for ambulance
and based on that call they’re able to
create an ai
and reduce about 42 percent of
undetected out of hospital
cardiac arrest it’s so amazing right it
already saved thousands of lives
but given all of the achievement by ai
so what do you think that we should
really be aware of do you think that we
still need to worry about the human
killing machines
that still in our image that’s actually
it’s on in our imaginary
no if i can tell you one thing it should
be something like this
yep uh you look it correctly it’s a
social media news feed
like what i said before on instagram
social media our social media nisbet
is actually telling your preference no
matter what
if it’s a fun things like you like
puppies or not okay so maybe your
newsfeed
filled with puppies i like to scuba dive
so my newsfeed will be filled with
scuba diving pictures so it’s it’s
pretty awesome
but imagine that that is something
sensitive like
politics or something else
it’s quite more sensitive and
if i look into the research in 2014 by
peer research center
we are actually today we are more
divided than ever than what happened in
the past
so this look let’s take a look at this
chart right
uh in 2014 there is a graph about the
uh they surveyed about the democrats
supporters and also republican
supporters
and somehow compared to the 10 years ago
or 20 20 years ago
it’s become more polarized so
we’re more polarized on this kind of
views because
someone who supports democrat on their
newsfeed will be
they will see many things about the
democrats
and vice versa and another survey told
us that
these people uh these supporters in
democrat
uh many more people that think badly
about people that support republican
and and vice versa as well can you
imagine that
if uh if you do you remember that what
happens in
indonesia political situation a couple
of uh a couple of months couple of years
back
it’s quite similar isn’t it if you even
imagine that
someone who supports candidate a they
think very badly about
people who support candidate b and vice
versa
so let me ask you one thing
who whoever watched this that
has left the our chat group
of families or long friends because have
a different views of this
right can you imagine so actually where
today
is way more polarized than ever we’re
divided more than ever
because because of our social media is
territory our preferences
if i support candidate a my newspaper
will be filled with
news from candidate a and i will think
that all supports from negative b is
very bad they’re wrong right and vice
versa
that makes us uh more divided
and so my message to you is
if you look into your news feed in our
social media or in
any news you might want to want to think
or want to double check
hey is this correct does it does it
makes sense
so uh you cannot think that
your site is the one that is true you
have to think that
you could be wrong right or maybe the
other side couldn’t be right
or vice versa so this kind of things
that uh
hopefully you can be more open-minded
that everything that you see in your
social media
is actually tailored by ai according to
your preferences
so please be careful please be
open-minded
about whatever you see on the social
media and
there is one thing that ai still don’t
have we just miss them
lastly if i have to quote from stephen
hawking he said that
we all have potential to boost our
boundaries through technology
and to think big even we are now at a
very exciting times and place
because we see all of this kind of power
right
and actually our generation are the
future are the pioneers of that
technologies like what i mentioned
before the neural network
uh the system to detect uh
heart attack is them to predict a covet
everything is
a system that is able to
beat the human world champion it’s all
made in our generation
it’s so exciting right but there’s one
thing if we see
our future our features actually are
raised between the growing power of this
technology
and the wisdom with which we use it
let us all hope that the wisdom wins in
this race
thank you very much