🚀 VivaTech 2024 : Keynote - AI for Good
Summary
TLDRこのスクリプトでは、テクノロジー界において大きな成功を収めた一方で、責任を負うべき問題にも直面していると語り、AIの善用が社会の難しい問題解決への鍵になる可能性を探求します。AmazonのCTOであるWerner Vogelsが、過去3,000年間の哲学者から現代の革新技術までを振り返り、AIが持つ可能性とその社会的影響について語ります。また、テクノロジーを通じて世界最难問題を解決する企業の事例を紹介し、AIが持続可能な社会を実現するための重要な役割を演じるべきだと主張しています。
Takeaways
- 🌟 テクノロジーの成功と規模は大きな責任につながります。テクノロジーを良い目的に応用することが重要です。
- 🔮 ジェネラティブAIは文化に敏感になるよう進化し、健康技術、女性向けの技術が発展すると予想されています。
- 🛠️ AIコーディング支援は開発者を助けるために存在し、より迅速に作業を進めるのに役立ちます。
- 🎓 教育はテクノロジーの進化に合わせて進化する必要があります。
- 🤖 古代ギリシャ哲学者から人工知能の思想は長い歴史を持っており、現代の自動化技術につながっています。
- 🧠 脳は思考と哲学を制御すると考えられていましたが、コンピュータの登場と共にそれらの機能を模倣するAIの研究が始まりました。
- 🌐 テクノロジーは持続可能性を確保しながら新しい技術を提供する必要があります。新しいタイプのチップやプログラミングインターフェースがそれに貢献しています。
- 🌱 AIは今現在も多くの問題を解決するための有効な手段として機能しており、ジョン・マッカーシーの言葉からインスピレーションを得ています。
- 🌍 世界的な課題に対するテクノロジーの応用が求められており、特に若い企業が積極的に取り組んでいます。
- 🐟 食糧不足や医療アクセスの確保など、持続可能な開発目標(SDGs)に関連する問題に対するテクノロジーの解決策が重要です。
- 🚑 テクノロジーは医療分野でも重要な役割を果たしており、遠隔地での医療支援や医療機器の開発に貢献しています。
- 📈 データはAIを通じて良い意思決定を行うために不可欠であり、オープンデータの提供はテクノロジーが社会貢献をするための鍵です。
- 🛡️ AIは倫理的にも良いデータと共に働くべきであり、テクノロジーを通じて社会の最も困難な問題を解決する力を持っていることを示しています。
Q & A
スピーカーは誰を紹介していますか?
-スピーカーはAmazonのCTOであるWerner Vogelsを紹介しています。
スピーカーが言及した「AI for good」とは何を指しますか?
-「AI for good」とは、人工知能を用いて社会の難しい問題を解決しようとする取り組みを指しています。
スピーカーが述べたジェネラティブAIの進化のステップは何段階ありますか?
-スピーカーはジェネラティブAIがマラソンの最初の3ステップにしかいないと述べており、これからの影響を示唆しています。
スピーカーが提唱する「AI for now」とは何を意味しますか?
-「AI for now」とは、現在利用可能なAI技術を活用し、世界最难関の問題を解決するアプローチを意味しています。
スピーカーが紹介したユニセフが取り組んでいる問題とは何ですか?
-スピーカーはユニセフが農業における小さな農家の問題に取り組んでいると紹介しており、彼らが銀行からローンを得られない問題や収穫量のデータ管理システムを構築していると説明しています。
スピーカーが挙げたAIを活用した農業における成功事例とは何ですか?
-スピーカーは、国際米種質研究所がAIを用いて米の品種を管理し、バックログを排除する成功事例を挙げています。
スピーカーが紹介した健康ケア分野におけるAIの活用事例には何がありますか?
-スピーカーは、ワクチンを離島などに自動ドローンで届ける取り組みや、医療現場でのAIを活用した予測モデル、新生児の脳損傷を早期に検出する技術などがあります。
スピーカーが強調したデータの重要性とはどのようなものですか?
-スピーカーは、AIが良好な分析を行うためには良好なデータが必要ですと強調しており、データはAIが機能するための重要な資源であると述べています。
スピーカーが紹介した「Tech to the rescue」はどのようなプログラムですか?
-「Tech to the rescue」はテクノロジーを用いて社会貢献を目指すプログラムであり、スピーカーはこのプログラムに関連してCTOフェローシップを発表しています。
スピーカーが引用したJohn McCarthyの言葉とは何ですか?
-スピーカーはJohn McCarthyの言葉を引用し、「それが機能するようになると、それをAIと呼ばなくなる」という意味を持ち、AI技術が成熟すると一般には認識されなくなると述べています。
Outlines
🌟 テクノロジーの責任と将来予測
スピーカーはテクノロジーの進歩とその責任について語り、2024年の予測を紹介します。テクノロジーは成功を収めてきた反面、広範な責任を負うべきだと指摘。AIの応用について語り、特にgenerative AIの進歩について触れます。また、教育の進化やテクノロジーの持つ可能性についても言及しています。
🤖 AIの歴史と現代の技術動向
AIの歴史を振り返り、古代ギリシアの哲学者から現代のAI技術までを概説。過去数十年間のAIの進歩と、特に最近のTransformersやファクターデータベースなどの技術革新について解説。AI技術が世界を変える可能性についても触れています。
🌱 テクノロジーを活用した持続可能な開発
スピーカーはテクノロジーを使い、持続可能な開発目標(SDGs)を達成するビジネスの例を紹介。特に、農業におけるテクノロジーの活用と、小規模農家への金融サービスの提供について語ります。
🍚 食糧生産のテクノロジー
世界食糧問題にテクノロジーがどのように貢献できるかについて説明。特に、米の研究と栽培の最適化、農薬の使用の最適化、そして養殖業におけるデータ分析の活用について詳述しています。
🏥 テクノロジーを活用した医療へのアクセスの拡大
医療へのアクセスを拡大するテクノロジーの活用について話します。ワクチンの自動ドローン配送、医療費用の削減、新生児の脳損傷の早期発見など、テクノロジーが医療分野で果たす役割について解説しています。
📊 データの重要性とテクノロジーの役割
データの重要性とテクノロジーがそのデータを活用する上で果たす役割について語ります。データの共有と開放性、そしてAIがデータから価値を引き出す方法について解説しています。
🛡️ AIによる社会問題への取り組み
AI技術を用いて社会問題に取り組む方法について話します。特に、子どもの性虐待や人権侵害に対処するテクノロジーの活用について詳述。AIが社会貢献に向けて重要な役割を果たすことについて強調しています。
🌐 テクノロジーを活用した社会貢献への道
テクノロジーを活用して社会貢献を目指す道について話します。AI for Change MakersプログラムやCTO Fellowshipの紹介を行い、テクノロジーが持続可能な社会貢献に向けて重要な役割を果たすことを示しています。
Mindmap
Keywords
💡テクノロジーの責任
💡生成的AI(Generative AI)
💡文化的な意識
💡テクノロジーの持続可能性
💡AIの教育への影響
💡社会影響ビジネス(Social Impact Business)
💡人工知能の歴史
💡自然言語処理(NLP)
💡データの民主化
💡人工知能による医療への貢献
💡テクノロジーの持続可能性
Highlights
Tech Guru's role in Amazon and predictions for 2024 including culturally aware generative AI, advanced health technologies, AI coding assistance, and evolving education.
The importance of technologists taking responsibility for solving the world's hardest problems with technology.
John McCarthy's quote on AI and the evolution of generative AI's cultural awareness.
Aristotle and Plato's early discussions on automation and humanoid robots 3,000 years ago.
The shift from symbolic AI to emulating human senses with technology as a path to success in AI.
Amazon's fulfillment centers utilizing 175 autonomous robots that enhance operational efficiency.
The transformative impact of underlying technologies like Transformers and factor databases on generative AI.
The early stages of generative AI's impact compared to the marathon of technological evolution.
The necessity for sustainable technology development, including new chips and programming interfaces.
AI's current and potential applications in solving global challenges, such as population growth and food security.
The UN's sustainability development goals as a framework for segmenting technological efforts for social good.
Startups like Hara providing identity and data to smallholder farmers for economic sustainability.
The International Rice Research Institute's use of AI to manage rice diversity and reduce backlog in seed storage.
Precision AI's application in agriculture for efficient and environmentally friendly crop management.
Aquabyte's use of computer vision to monitor fish health and contribute to global food sustainability.
The importance of democratizing data access for tackling global issues like healthcare and natural disasters.
Foreign's innovative use of AI in combating child sex trafficking and abuse through image and data analysis.
The symbiosis between good AI and good data, emphasizing the need for quality data for effective AI solutions.
The launch of the now go build CTO Fellowship to support innovators in technology for good.
McCarthy's quote on AI as a reminder to focus on current technologies' practical applications to solve today's challenges.
Transcripts
now you may not want to run away so fast
because we have
brought a very very inspiring Tech Guru
he plays such an important role in
Amazon so our next speaker is a science
research an expert in computer science
and even a tech startup founder today
he's one of the key Innovation figures
behind Amazon as I was saying and he's
well known for his predictions what did
he say for
2024 well new large language models will
make generative AI culturally aware fem
Tech will take off with Advanced Health
Technologies for women that's something
I'm certainly looking for and waiting
for AI coding assistance will help
developers work faster by taking care of
he heavy lifting and fourth ucation will
evolve to match the pace of evolving
Tech we missed him last year but he was
finally able to come this year please
allow me to
welcome verer Bogel CTO of
[Applause]
[Music]
[Applause]
Amazon good afternoon Paris um um
I think if we look back at the past two
three decades we as technologist and as
u in digital technology but also in any
type of innovation we've had great
success massive successful companies
millionaires billionaires but I do
believe that with that success and scale
comes a really broad responsibility at
the same time if you look at the issues
that we're facing in the world today we
as technologists have a responsibility
to try to solve a number of the hardest
problems that we see in this world and
yes of course you you think applying
technology for good uh these days of
course you immediately start to think
about how can we apply AI for good yeah
and there's a huge amount of excitement
around generative Ai and things like
that but I would like to hold there and
actually go back to a quote of one of
the famous founders of artificial
intelligence John McCarthy who said as
soon as it works we don't call it AI
anymore there's a real big body of work
out there that is actually AI but that
we don't call AI anymore because we only
talk about AI in terms of looking
forward kind of things that we could be
doing and more importantly I think it is
also to realize that there is a massive
body of work that works really really
well we just don't give it that new
stamp of AI that AI that we've seen come
to life in the past say year and a half
yeah and it's quite successful but I
think to really understand this we need
to go back in time actually quite far in
time 3,000 years ago Aristotle and Plato
were already discussing about the use of
intelligence to solve particular tasks
by
Automation and actually even to the
point that play in the Republic actually
described a number of humanoid robots
that were performing household tasks
remember this is 3,000 years ago that
they were already sort of envisioning
what we actually have been coming to
life in the past 10 20
years now most of those philosophies and
if you actually go back to the past
2,000 years those have who have been
thinking about this artificial
intelligence
they all still were thinking about that
everything should be controlled by the
brain yeah and that actually any
thinking and any philosophy about that
is actually driven by the brain now
brain was actually just they thought it
was actually manipulating symbols so if
the first arrival of computers who were
also manipulating symbols we really got
to the point immediately to start to
think about can these machines actually
think yeah alen touring probably our our
Century's most famous uh computer
science
philosopher really had this first
question of can machines think and
actually the famous touring test is made
by Ellen T can you distinguish answers
from machine from those are given by a
human actually the word artificial
intelligence at this moment doesn't
exist yet it is for the first time
coined in 1956 in a workshop in dmth
with McCarthy there Minsky and quite a
few others but still they were thinking
that artificial intelligence should be
something driven from the top down
basically thinking about sort of really
how does the brain
control the rest of the body that didn't
go anywhere yet I think eventally
symbolic AI as we would call it results
in automated reasoning and many of the
other things that are really successful
areas now but that was not what drove
the success of AI in the earlier days
what drove the success was really
thinking different by the way one of the
things that we were building in those
days and yes that is me I had more hair
in those days I build a few of those in
the 80s using Prolo but what really
started to make a major change is the
people that were actually working on
robotics they were saying you know what
why don't we do it top down from the
brain down but why don't we pick
individual senses of humans and try to
emulate those in technology yeah Vision
sound speech all of those and you really
see that we have made great strides
there because that actually was a path
to
success this is a fulfillment center of
amazon.com we have about 175 of those
around the world and in each of those
you may see about 30,000 robots running
around and we can only do this because
they can be autonomous and they can
understand different senses not maybe
the robots are not necessarily speech
enabled but they definitely have liar
and radar and other senses that we as
humans even don't
have now what we've seen over time is
that we got all these different steps in
technologies that slowly advance and
more and more of the underlaying
Technologies Drive the kind of things
the solutions that we can build with it
and of course the last one the most
recent one is that of Transformers
together Factor databases which Drive
the generative AI world at this moment
now everybody's talking about large
language models and I will skip that for
the most part because I think many other
people will be talking about that
although it is actually getting a lot
closer to Plato's dream and the
assistance that it can give in efficieny
and areas like that is
unparalleled I do believe generative AI
is just at the first three steps of a
marathon in terms of impact on the
solutions that we're building it's very
very early days and I also think that is
not the end of the implications of AI
we'll build newer underlaying
Technologies which makes other advances
again possible which ones those are
we'll need to see in the coming three to
four years because that actually the
cycle in which we see underlaying
Technologies improving together with the
hardware that runs in lockstep and
especially the hardware part is
extremely important because if you are
concerned about technology for good you
also need to make sure that your
technology is created in the most
sustainable way possible yeah new types
of chips new types of programming
interfaces will allow us to be
sustainable and at the same time
actually deliver new
technologies so I want to go to the area
of what I would call AI for now ai for
now is a massive body of work it
actually all works which like John mcari
we then say you know what we don't call
it AI anymore maybe maybe the infers of
uh mti's quote is that we call it AI if
it doesn't really work yet yeah but if
you think about all that work that has
been done you know can we actually use
this technology to solve some of the
world's hardest
problems now so what are those I mean
the present is really important let's
take all the technologies that we have
that we've created and that make many of
our businesses successful but at the
same time we need to take the
responsibility to use this technology to
solve some of the world's hardest
problems and I wasn't really aware of
that until you know quite some time ago
when I realized that you know some of
the numbers that we're going to see in
this world the growth of our population
is disastrous for the current Ser
circumstances you think about that in
the coming 20 to 30 years we'll see the
population grow by another 2 billion
people that's an increase of 25% in the
population how are we going to feed them
I'm going to make sure that they're
economically sustainable problems that
even at this moment we already have so
what can we do in terms of tech
technology and I had been thinking about
that for quite a while how to organize
that and I think the UN sustainability
development goals are a right way to
sort of segment the kind of work that
has been going
on and so there's these are the goals
set by the UN but let's pick out a few
of them and look at how young businesses
especially are trying to solve these
problems I'd be very fortunate indeed in
the past 10 years 10 15 years to travel
the world and meet many startups around
the world one of the things that I
started to see is outside let's say the
main master world that many splots were
not looking at becoming the next unicorn
they were really looking at solving some
of the world's hardest problems and very
fortunate at some moment to take a TV
crew along to uh create this TV series
called now go build that actually
highlights these companies that solve
some of the world's hardest problems
that you can find it on Prime video and
on aws's website and and on YouTube but
you know if you're interested in
companies that are really solving hard
problems this is a really great TV show
but it also motivated me to look at sort
of how can we use technology for
good so a really great example is this
actually one of my first episodes that I
did was with a company called Hara out
of
Jakarta and if you think about Indonesia
or most of Southeast Asia where there
are many small hold of farmers
none of them have an identity that means
if you don't have an identity you can't
go to a bank for a loan you have to go
to the Village loone shark who charges
60% by the way yeah to get some money to
buy your seeds for your next cop it
means that half of your crop is already
sold gone out of your hands before you
even start growing
it so they built this system that gives
um Farmers an identity measure their lot
of land now measure the yield of that
land and then keep that data together to
actually make that available to
organizations that are interested in
this data the first organization of
course that is interested in this are
the banks and why is that is because
these these Farmers they're not looking
for a million dollar loans they're
looking for 10 to $100
loans and each of those actually have a
100% repay rate so by just make doing
this by giving this farmers in identity
by associating data with them about sort
of the yield of that plot of land all of
these financial institutions are eager
to support these Farmers something they
would never had before so now they can
actually have a sustainable living why
did this company actually started
tackling this problem because they were
children of small holder Farmers
themselves they understood the problems
that their parents that their
communities are going through and
decided to actually take action and
build a business out of that now this is
maybe what we call a social impact
businesses actually not just you're
trying to do good but have a good living
and a good business at the same time and
this is possible because it's not the
farmers that actually are paying har it
is the BS and the government
institutions that want to have access to
the data that are actually making this
business very
successful so if you think about one of
the biggest problems that we'll have
with two billion more people on this
planet is access to
food and if you look at sort of the most
important staple of food is out of rice
well over 50% of the planet is dependent
on Rice as the main food uh
Source there's an organization in the
Philippines called the international
rice Research Institute they are
absolutely brilliant if you want to know
more about sort of food research and
things like that absolutely look up what
these guys are doing they have the
largest collection of rice DNA in their
freezers 200,000 strands of different
types of rice by the way they're also
backing it up in the north in Norway in
very cold areas now their biggest
challenge is actually taking in all of
these rice and then uh sorting them
looking at which R seats are actually
useful or not and that is actually such
a high level that there's a huge backlog
in actually getting these seeds into
storage this is one of the simple
problems that you can easily solve with
with uh object recognition just use a
small video camera train it and see
which wise uh seats can actually be
useful or not the longer these seats
actually kept out of storage the bigger
the problem is for them because they
have to discard the
R so very simple system little camera
determining which R seats are are are
good and immediately by installing this
system which is not a magic system but
uses Rock Solid proven tech technology
they immediately eliminated all of the
backlog and they do a lot of research
there many different types you have to
imagine that most of the farmers that
they're targeting actually don't have
cell phones they can't read or write
often they do can speak into a phone
though so they developed a system for
which farmers can actually call into
describe their patch of land and where
it is and then the system will give him
advice about how much fertilizer to buy
and when to apply it because most of
these Farmers have grown up with not
much let's say scientific knowledge
about how much fertilizer to use they
just buy a lot and apply it to their
land the same goes for
pesticides and so here the key is that
you're able to actually use voice as an
access to digital systems remember
there's a very large part of this world
where reading and writing is not common
and as such if you want to give those
people access to digital Technologies
voice is critical in all of
that if you think about indeed about
planting you know most of uh not only
fertilizer but most of the biochemicals
used to actually protect the plant are
often just being sprayed yeah Precision
AI is one of these companies that
actually uses drone with very high
quality imagery to pick out individual
wheat plants in rice plantations so that
they can take them out and do
individualized Precision management of
these crops instead of just spreading it
over everything the runoff often both of
wellas um uh fertilizer as well as these
biochemicals often run off in the rivers
and actually create massive pollution
and creation enormous amount of algae
for example in these Rivers
now that's rice yeah so what about
protein we kind of all like protein and
it's an important part of our
diet
right and so definitely if the world is
growing how can we make sure that 25%
more people have access to
protein the most efficient way to do
that is to actually create fish because
one kilo of fish feed results in one
kilo of fish
if you want to do it with cattle you
have to give it seven kilos of feet
before you create one kilo of
protein and not only that cattle farming
has had a disastrous impact on many of
our surrounding
areas so there's a company uh in Norway
where I met them first called
aquabyte and they make they have these
massive pens in the fs in Norway in each
of those pens there is about 200,000
salmon in there
and they get in there when they're
really small and what they do they use
computer vision and object detection to
track the individual fish their growth
but more importantly their health
because one fish with lice in that pen
will infect you other 200,000 and you'll
have to destroy them all and so they
built this system this Vision detection
system together with things like sine
levels and other iot levels to actually
keep this fish healthy and so this might
be one of the approaches that are being
taken to see whether we can at scale
grow sufficient protein to solve sort of
the upcoming disaster of not being able
to feed everyone in this
world they have created these massive
data stores already about how to
actually sort of track fish and make
that available
worldwide so if you look at some of the
other
um areas in the sustainability goals
it's of course healthare how can we
ensure health care for 25% larger
population if we cannot even do it
today we as technologists are the ones
that actually should stand up and
actually find solutions to solve the
healthcare problems in this world or
access to
healthcare now if you uh think about at
this moment at 202 one I think is a
report by the World Health Organization
who estimates that about 2 billion real
populated two billion people living in
rural areas do not have access to health
care at all things that we consider to
be just a fundamental right to hex to
it uh suero is one of these companies
that are trying to solve how to get
vaccines into rural areas these drones
they're not piloted they're completely
automated drones are one of these
examples of oldfashioned a just working
really well a drone will easily have
about a 100 Sensers on it yeah lighter
radar Vision you need to be able to
detect obstacles in flight because
remember these these drones need to be
autonomous there is no there's nobody
sitting at the the joystick to get this
to a place where you want and then when
you arrive somewhere you know you don't
want to hit the dog that are there nor
do you want suddenly this fishing line
that actually was was out there and want
to run into that so a lot of autonomous
work using AI is being done to make sure
that we can deliver vaccines into areas
that have never actually reached any
seen any healthc care professional at
all and if you look at that I think it
was about a few years ago that I went to
Brazil and in Brazil still you know
there's about 200 million citizens and
they consider that about 150 million of
them are medically homeless Dr Kila uses
AI Technologies to actually first of all
provide very lowcost Health Care by
looking at where the places in the world
they can buy generic medicine for the
lowest cost but also make use of AI over
patient records to start to predict what
kind of health problems people may
exhibit and try to intervene at a much
earlier phase
there
CICS isra in an Ireland is very
interesting company it actually turns
out that about was it one in every 200
newborns have some degree of brain
injury and these brain injuries are
often not detected until months or years
after birth yet with a very simple test
they can give a that we now give babies
a test whether they can hear well
whether they can see well by just
placing a little cap on their head with
in
EEG and then actually can detect these
brain uh these brain damages very early
and immediately start to try and
actually tackle those particular
problems yeah so they make use of EG
data now why is that so important why
can't we just do it regularly it turns
out EEG data of babies is radically
different than that from us as uh as
adults now in quite a few examples I
gave you computer vision plays an
important role and why because it makes
nicer slides but there's a whole range
of other Tech technologies that work
really well and are the foundation of
how we actually applying AI for good
where it's natural language processing
speech translation all of these work
well know these are Technologies but you
don't even think about anymore look at
for detection a company like like Amazon
we literally sit on billions of orders
from the past we know which ones were
forland and so we can build a model out
of that a new order comes in it gives us
the score what the likelihood is that
this is also a forent order we don't
kill the orderan actually the order then
goes off to a human
investigator remember that AI predicts
but we make make decisions it is still
not the case that these Technologies
decide for us we are the ones that are
in charge and we are the ones that are
deciding where these tools just help us
get to that
decision now in all of this know we
cannot have good insights driven by AI
if we do not have good data and data is
crucial in all of this now the problem
is often that data is a privileged asset
companies holding them close to
themselves they're not opening it up
although there's a lot of efforts going
on to create more and more open data
sets having access to public data is
crucial for those companies that want to
do good in this
world a good example there is one of the
other now go built episod that I did uh
which was in the Philippines now the
Philippines sit in what is called
typhoon alley they have natural
disasters several time each year but the
significant portion of the country is
what we call unmapped and the question
is even do you exist if your street is
not mapped and why is it not mapped by
the way is because those companies that
create the maps that we use on a daily
basis are only interested in those areas
that they economically viable 80% of the
Philippines do not fall into that
category
so the human open Street bed Foundation
actually tries to tackle that they have
people on the ground going through these
unmapped areas and mapping them by hand
and also indicating especially with back
to earthquakes which buildings are
actually stable and mapping that out the
Red Cross in the Philippines lives by
this data set because that's the only
data set they can get their hands on to
actually Reach people in need during
these disasters
so I honestly believe one of the biggest
challenges we have at this moment is to
make sure that we can
democratize access to this data for good
and many organizations already doing
that AWS the cloud computing arm of
Amazon uh for example has a large
collection of open data uh one of them
is uh it digital Africa this contains
imagery over the years from three large
satellite grips um the one from the US
from NASA and USGS uh there's a European
one from the project Copernicus and Jack
the Japanese uh satellite company also
makes these digital imagery available so
you can look for the deterioration of
mangr you can look for illegal roads
being built because then thaty at the
end of the road illegal mining is
happening so making sure sure that we
have this data available for everyone is
actually crucial in improving access to
data now why is this data so important
why is it different from the past I
think one of the major changes that we
saw let's say in the '90s we already
knew what kind of questions we wanted to
ask and that drove what kind of data we
collected SE queries but with cloud
computing making data storage so cheap
suddenly you could keep all your data
around and then it becomes sort of a
massive heap of data where you looking
for the pot of gold that may be in there
now what is the technology that you use
to find the needle in the Hast stack
that's a
magnet yeah in this particular case to
find the needle in a digital Hast stack
you use AI or machine learning as a
technology that is
crucial now I want to leave you with a
last example which I think is most
telling there's an organization called
foreign is a nonprofit organization that
has as a goal to stay ahead of SE child
sex trafficking and other child sexual
abuse yeah they use image recognition
they use data mining they use
collaborative filtering all these
different techniques to prevent and
detect child sexual abuse
they build a system called Spotlight in
which they have imagery of missing
children from all around the world they
compare it each day for example in the
US against the 100,000 new ads for
escorts that are being released each
day and
Spotlight has been quite successful they
already found 18,000 victims of child
sexual trafficking and rescued and more
than 6,000 were actually very young
children they build a different system
called saver because I assume none of us
here would like to have child sexual
abuse material on our
servers if you have any way for your
customers to upload imagery you may want
to use saver to find those images that
they have a massive database of
uh uh of uh sort of hashes of this
imagery and they can detect this for you
many of these organizations have
actually used humans to do this believe
me if you need to look at these images
just for a day you will need therapy at
the end of the day if we can actually
scale this up by using technology and
actually really find this imagery and
actually nip it when we can that's
crucial they also actually make you
safer is also a tool that can actually
look at communication patterns between
individuals and look for patterns of
grooming these Technologies are crucial
if we want to solve some of the hardest
problems in this
world now good AI needs good data
there's a symbiosis between the
two and that means that good data
absolutely needs good AI to be able to
make sense of it but more importantly
good work needs good people it is us as
technologists with the right mindset to
want to solve some of the world's
hardest problems because we've been
successful in actually solving spam
filters let's make sure that we can
solve a number of problems that are much
harder than that talking about good
people uh this organization called Tech
to the rescue actually launched a
program called AI for Chang makers it's
a global ACC accelerator that focuses on
different areas of tech for good and I
think um they are running this year five
different cohorts in different
areas jumping on that I've been so
impressed by this program that today I'm
announcing a CTO Fellowship the nowo
build CTO Fellowship because I believe
that many of these innovators in this
space can actually make use of sort of
the experiences that I and my team have
as uh as driving technology for so many
years that we can actually help them
with that with this CTO fellowship and
really technology plays a crucial role
in technology for good and to find Mark
more to the fellowship by the way and
for the AI for change makers look at the
uh capture the QR code there so I like
to leave you again with uh McCarthy's
quote Yeah remember that some of the
current technology
is clearly that of what I would call a
dancing bear we really think this we
really are amazed that this bear can
dance we're not really looking at
whether the bear dances well or not yet
for that we need some longer time so as
soon as it works nobody calls the AI
anymore there's a massive body of work
out there that you can use to solve
today's hardest problems now I'll leave
you with this yeah now go build thank
you very much
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