How AI can save our humanity KaiFu Lee

I’m going to talk about
how AI and mankind can coexist,

but first, we have to rethink
about our human values.

So let me first make a confession
about my errors in my values.

It was 11 o’clock, December 16, 1991.

I was about to become a father
for the first time.

My wife, Shen-Ling,
lay in the hospital bed

going through a very difficult
12-hour labor.

I sat by her bedside

but looked anxiously at my watch,

and I knew something that she didn’t.

I knew that if in one hour,

our child didn’t come,

I was going to leave her there

and go back to work

and make a presentation about AI

to my boss, Apple’s CEO.

Fortunately, my daughter
was born at 11:30 –

(Laughter)

(Applause)

sparing me from doing the unthinkable,

and to this day, I am so sorry

for letting my work ethic
take precedence over love for my family.

(Applause)

My AI talk, however, went off brilliantly.

(Laughter)

Apple loved my work
and decided to announce it

at TED1992,

26 years ago on this very stage.

I thought I had made one of the biggest,
most important discoveries in AI,

and so did the “Wall Street Journal”
on the following day.

But as far as discoveries went,

it turned out,

I didn’t discover India, or America.

Perhaps I discovered
a little island off of Portugal.

But the AI era of discovery continued,

and more scientists
poured their souls into it.

About 10 years ago, the grand AI discovery

was made by three
North American scientists,

and it’s known as deep learning.

Deep learning is a technology
that can take a huge amount of data

within one single domain

and learn to predict or decide
at superhuman accuracy.

For example, if we show
the deep learning network

a massive number of food photos,

it can recognize food

such as hot dog or no hot dog.

(Applause)

Or if we show it many pictures
and videos and sensor data

from driving on the highway,

it can actually drive a car
as well as a human being

on the highway.

And what if we showed
this deep learning network

all the speeches made by President Trump?

Then this artificially
intelligent President Trump,

actually the network –

(Laughter)

can –

(Applause)

You like double oxymorons, huh?

(Laughter)

(Applause)

So this network, if given the request
to make a speech about AI,

he, or it, might say –

(Recording) Donald Trump:
It’s a great thing

to build a better world
with artificial intelligence.

Kai-Fu Lee: And maybe in another language?

DT: (Speaking Chinese)

(Laughter)

KFL: You didn’t know
he knew Chinese, did you?

So deep learning has become the core
in the era of AI discovery,

and that’s led by the US.

But we’re now in the era
of implementation,

where what really matters is execution,
product quality, speed and data.

And that’s where China comes in.

Chinese entrepreneurs,

who I fund as a venture capitalist,

are incredible workers,

amazing work ethic.

My example in the delivery room is nothing
compared to how hard people work in China.

As an example, one startup
tried to claim work-life balance:

“Come work for us because we are 996.”

And what does that mean?

It means the work hours
of 9am to 9pm, six days a week.

That’s contrasted
with other startups that do 997.

And the Chinese product quality
has consistently gone up

in the past decade,

and that’s because of
a fiercely competitive environment.

In Silicon Valley, entrepreneurs
compete in a very gentlemanly fashion,

sort of like in old wars
in which each side took turns

to fire at each other.

(Laughter)

But in the Chinese environment,

it’s truly a gladiatorial
fight to the death.

In such a brutal environment,
entrepreneurs learn to grow very rapidly,

they learn to make their products
better at lightning speed,

and they learn
to hone their business models

until they’re impregnable.

As a result, great Chinese products
like WeChat and Weibo

are arguably better

than the equivalent American products
from Facebook and Twitter.

And the Chinese market
embraces this change

and accelerated change
and paradigm shifts.

As an example, if any of you go to China,

you will see it’s almost cashless
and credit card-less,

because that thing that we all
talk about, mobile payment,

has become the reality in China.

In the last year,

18.8 trillion US dollars
were transacted on mobile internet,

and that’s because
of very robust technologies

built behind it.

It’s even bigger than the China GDP.

And this technology, you can say,
how can it be bigger than the GDP?

Because it includes all transactions:

wholesale, channels,
retail, online, offline,

going into a shopping mall
or going into a farmers market like this.

The technology is used
by 700 million people

to pay each other, not just merchants,

so it’s peer to peer,

and it’s almost transaction-fee-free.

And it’s instantaneous,

and it’s used everywhere.

And finally, the China market is enormous.

This market is large,

which helps give entrepreneurs
more users, more revenue,

more investment, but most importantly,

it gives the entrepreneurs a chance
to collect a huge amount of data

which becomes rocket fuel
for the AI engine.

So as a result, the Chinese AI companies

have leaped ahead

so that today, the most valuable companies

in computer vision, speech recognition,

speech synthesis,
machine translation and drones

are all Chinese companies.

So with the US leading
the era of discovery

and China leading
the era of implementation,

we are now in an amazing age

where the dual engine
of the two superpowers

are working together

to drive the fastest
revolution in technology

that we have ever seen as humans.

And this will bring tremendous wealth,

unprecedented wealth:

16 trillion dollars, according to PwC,

in terms of added GDP
to the worldwide GDP by 2030.

It will also bring immense challenges

in terms of potential job replacements.

Whereas in the Industrial Age

it created more jobs

because craftsman jobs were being
decomposed into jobs in the assembly line,

so more jobs were created.

But AI completely replaces
the individual jobs

in the assembly line with robots.

And it’s not just in factories,

but truckers, drivers

and even jobs like telesales,
customer service

and hematologists as well as radiologists

over the next 15 years

are going to be gradually replaced

by artificial intelligence.

And only the creative jobs –

(Laughter)

I have to make myself safe, right?

Really, the creative jobs
are the ones that are protected,

because AI can optimize but not create.

But what’s more serious
than the loss of jobs

is the loss of meaning,

because the work ethic
in the Industrial Age

has brainwashed us into thinking
that work is the reason we exist,

that work defined
the meaning of our lives.

And I was a prime and willing victim
to that type of workaholic thinking.

I worked incredibly hard.

That’s why I almost left
my wife in the delivery room,

that’s why I worked 996
alongside my entrepreneurs.

And that obsession that I had with work

ended abruptly a few years ago

when I was diagnosed
with fourth stage lymphoma.

The PET scan here shows
over 20 malignant tumors

jumping out like fireballs,

melting away my ambition.

But more importantly,

it helped me reexamine my life.

Knowing that I may only have
a few months to live

caused me to see how foolish it was

for me to base my entire self-worth

on how hard I worked
and the accomplishments from hard work.

My priorities were
completely out of order.

I neglected my family.

My father had passed away,

and I never had a chance
to tell him I loved him.

My mother had dementia
and no longer recognized me,

and my children had grown up.

During my chemotherapy,

I read a book by Bronnie Ware

who talked about dying wishes and regrets
of the people in the deathbed.

She found that facing death,

nobody regretted that they didn’t
work hard enough in this life.

They only regretted that they didn’t
spend enough time with their loved ones

and that they didn’t spread their love.

So I am fortunately today in remission.

(Applause)

So I can be back at TED again

to share with you
that I have changed my ways.

I now only work 965 –

occasionally 996, but usually 965.

I moved closer to my mother,

my wife usually travels with me,

and when my kids have vacation,
if they don’t come home, I go to them.

So it’s a new form of life

that helped me recognize

how important it is that love is for me,

and facing death
helped me change my life,

but it also helped me see a new way

of how AI should impact mankind

and work and coexist with mankind,

that really, AI is taking away
a lot of routine jobs,

but routine jobs are not what we’re about.

Why we exist is love.

When we hold our newborn baby,

love at first sight,

or when we help someone in need,

humans are uniquely able
to give and receive love,

and that’s what differentiates us from AI.

Despite what science fiction may portray,

I can responsibly tell you
that AI has no love.

When AlphaGo defeated
the world champion Ke Jie,

while Ke Jie was crying
and loving the game of go,

AlphaGo felt no happiness from winning

and certainly no desire
to hug a loved one.

So how do we differentiate ourselves

as humans in the age of AI?

We talked about the axis of creativity,

and certainly that is one possibility,

and now we introduce a new axis

that we can call compassion,
love, or empathy.

Those are things that AI cannot do.

So as AI takes away the routine jobs,

I like to think we can, we should
and we must create jobs of compassion.

You might ask how many of those there are,

but I would ask you:

Do you not think that we are going
to need a lot of social workers

to help us make this transition?

Do you not think we need
a lot of compassionate caregivers

to give more medical care to more people?

Do you not think we’re going to need
10 times more teachers

to help our children find their way

to survive and thrive
in this brave new world?

And with all the newfound wealth,

should we not also make
labors of love into careers

and let elderly accompaniment

or homeschooling become careers also?

(Applause)

This graph is surely not perfect,

but it points at four ways
that we can work with AI.

AI will come and take away
the routine jobs

and in due time, we will be thankful.

AI will become great tools
for the creatives

so that scientists, artists,
musicians and writers

can be even more creative.

AI will work with humans
as analytical tools

that humans can wrap their warmth around

for the high-compassion jobs.

And we can always differentiate ourselves

with the uniquely capable jobs

that are both compassionate and creative,

using and leveraging
our irreplaceable brains and hearts.

So there you have it:

a blueprint of coexistence
for humans and AI.

AI is serendipity.

It is here to liberate us
from routine jobs,

and it is here to remind us
what it is that makes us human.

So let us choose to embrace AI
and to love one another.

Thank you.

(Applause)

我要谈谈
人工智能和人类如何共存,

但首先,我们必须重新
思考我们的人类价值观。

因此,让我首先
承认我在价值观上的错误。

1991 年 12 月 16 日晚上 11 点,

我即将
第一次当爸爸。

我的妻子沉玲
躺在病床上

,经历了
12 个小时的艰难分娩。

我坐在她的床边,

但焦急地看着我的手表

,我知道一些她不知道的事情。

我知道,如果一个小时后,

我们的孩子没有来,

我会把她留在那儿

,然后回去工作

向我的老板、Apple 的 CEO 做一个关于 AI 的介绍。

幸运的是,我的女儿
在 11 点 30 分出生——

(笑声)

(掌声)

让我免于做不可想象的事情

,直到今天,我很抱歉

让我的职业道德
优先于对家人的爱。

(掌声)

然而,我的 AI 演讲非常出色。

(笑声)

Apple 喜欢我的工作,
并决定

26 年前的 TED1992 的这个舞台上宣布它。

我以为我在 AI 领域取得了最大
、最重要的发现之一,第二天

《华尔街日报
》也是如此。

但就发现而言,

事实证明,

我没有发现印度或美国。

也许我
在葡萄牙附近发现了一个小岛。

但人工智能的发现时代仍在继续

,更多的科学家
倾注了他们的灵魂。

大约 10 年前,三位北美科学家做出了一项伟大的 AI 发现

,称为深度学习。

深度学习是一种技术
,它可以在一个领域内获取大量数据

并学会
以超人的准确度进行预测或决策。

例如,如果我们
向深度学习

网络展示大量食物照片,

它可以识别食物,

例如热狗或没有热狗。

(掌声)

或者如果我们给它看很多在高速公路上行驶的图片
、视频和传感器数据

,它实际上可以在高速公路上驾驶

汽车和人类

如果我们向
这个深度学习网络展示

特朗普总统的所有演讲呢?

那么这个
人工智能总统特朗普,

实际上是网络——

(笑声)

可以——

(掌声)

你喜欢双重矛盾,是吧?

(笑声)

(掌声)

所以这个网络,如果被要求
就人工智能发表演讲,

他或它可能会说——

(录音)唐纳德·特朗普:用人工智能建立一个更
美好的世界是一件很棒的事情

李开复:也许用另一种语言?

DT:(说中文)

(笑声)

KFL:你不知道
他懂中文,是吗?

所以深度学习已经成为
人工智能发现时代的核心,

而且是由美国主导的。

但我们现在处于实施时代

,真正重要的是执行、
产品质量、速度和数据。

这就是中国的用武之地。

我作为风险投资家资助的中国企业家

是令人难以置信的工人,

令人惊叹的职业道德。

我在产房的例子
与中国人们的努力相比微不足道。

例如,一家初创公司
试图宣称工作与生活的平衡:

“来为我们工作吧,因为我们是 996。”

那是什么意思?

这意味着
每周六天的上午 9 点到晚上 9 点的工作时间。


与其他做 997 的初创公司形成鲜明对比。

中国的产品质量

在过去十年中一直在上升

,这是
因为竞争激烈的环境。

在硅谷,企业家
们以一种非常绅士的方式进行竞争,

有点像古代战争
中双方

轮流互相开火。

(笑声)

但在中国环境中,

这确实是
一场生死角斗。

在如此残酷的环境中,
创业者学会了快速成长

,学会了
以闪电般的速度让自己的产品变得更好

,学会
了磨练自己的商业模式,

直到坚不可摧。

因此,
微信和微博

等伟大的中国产品可以说

比 Facebook 和 Twitter 的同等美国产品更好

中国市场
接受了这种变化

,加速了变化
和范式转变。

举个例子,如果你们中的任何一个人去中国,

你会看到它几乎是无现金
和无信用卡的,

因为我们都在
谈论的那个东西,移动支付,

在中国已经成为现实。

去年,

移动互联网交易额达到 18.8 万亿美元

,这得益于其背后构建
的非常强大的技术

甚至比中国的GDP还大。

而这个技术,你可以说,
怎么可能比GDP还大?

因为它包括所有的交易:

批发、渠道、
零售、线上、线下

、进商场
或进农贸市场。

7亿人使用这项技术

相互支付,而不仅仅是商家,

所以它是点对点的,

而且几乎是免费的。

而且它是瞬时的,

并且在任何地方都可以使用。

最后,中国市场是巨大的。

这个市场很大,

这有助于给创业者
更多的用户、更多的收入、

更多的投资,但最重要的是,

它让创业者有
机会收集大量的数据

,这些数据
成为人工智能引擎的火箭燃料。

于是,中国的人工智能公司

就这样飞跃了

,以至于今天

在计算机视觉、语音识别、

语音合成、
机器翻译和无人机领域最有价值的公司

都是中国公司。

因此,随着美国
引领发现时代

,中国
引领实施时代,

我们现在处于一个惊人的时代

,两个超级大国的双引擎

正在共同努力

,推动

我们人类所见过的最快的技术革命。

这将带来巨大的财富,

前所未有的财富:

根据普华永道的数据,

到 2030 年,全球 GDP 将增加 16 万亿美元。

这也将

在潜在的工作替代方面带来巨大挑战。

而在工业时代,

它创造了更多的就业机会,

因为工匠的工作被
分解为装配线上的

工作,因此创造了更多的就业机会。

但人工智能完全

用机器人代替了流水线上的单个工作。

不仅在工厂

,卡车司机、司机

,甚至电话销售、
客户服务

和血液科医生以及放射科医生等工作

在未来 15 年内

都将逐渐

被人工智能取代。

只有创造性的工作——

(笑声)

我必须确保自己的安全,对吧?

确实,创造性的工作
是受到保护的,

因为人工智能可以优化但不能创造。


比失去工作更严重的

是失去意义,

因为
工业时代的职业道德

已经洗脑我们
认为工作是我们存在的原因

,工作定义
了我们生活的意义。

我是那种工作狂思维的主要受害者,也是自愿的
受害者。

我工作异常努力。

这就是为什么我差点
把妻子留在产房里,

这就是为什么我
和我的企业家一起工作 996。

几年前,

当我被诊断出
患有第四期淋巴瘤时,我对工作的痴迷突然结束了。

这里的PET扫描
显示20多个恶性肿瘤

像火球一样跳出来,

融化了我的野心。

但更重要的是,

它帮助我重新审视了我的生活。

知道自己可能
只有几个月的

生命,这让我看到了

将我的整个自我价值建立

在我的努力程度
和努力工作的成就上是多么愚蠢。

我的优先事项
完全乱了套。

我忽略了我的家人。

我父亲去世了

,我从来没有
机会告诉他我爱他。

我的母亲患有痴呆症
,不再认出我

,我的孩子们也长大了。

在化疗期间,

我读了 Bronnie Ware 的一本书,书中

谈到了临终者的临终愿望和
遗憾。

她发现,面对死亡,

没有人会后悔自己
这一生不够努力。

他们只后悔没有
花足够的时间陪伴亲人

,没有传播爱。

所以我很幸运今天得到了缓解。

(掌声)

所以我可以再次回到TED

与大家
分享我改变了我的方式。

我现在只工作965——

偶尔996,但通常是965。

我搬到离妈妈更近的地方,

我妻子通常和我一起旅行

,当我的孩子们放假时,
如果他们不回家,我就去找他们。

所以这是一种新的生命形式,

它帮助我认识

到爱对我来说是多么重要

,面对死亡
帮助我改变了我的生活,

但它也帮助我看到了

人工智能应该如何影响人类

、工作和与人类共存的新方式 人类

,真的,人工智能正在
夺走很多日常工作,

但日常工作并不是我们的目标。

我们存在的原因是爱。

当我们抱着刚出生的婴儿,

一见钟情,

或者当我们帮助有需要的人时,

人类能够
给予和接受爱是独一无二的

,这就是我们与人工智能的不同之处。

尽管科幻小说可能描绘出什么,

我可以负责任地告诉你
,人工智能没有爱。

当 AlphaGo
击败世界冠军柯洁时,

当柯洁
哭着热爱围棋时,

AlphaGo 并没有因为获胜而感到快乐,更没有

想要拥抱亲人的欲望。

那么

,在人工智能时代,我们如何区分自己作为人类呢?

我们谈到了创造力的轴

,当然这是一种可能性

,现在我们引入一个新的轴

,我们可以称之为同情、
爱或同理心。

这些都是人工智能无法做到的。

因此,随着人工智能取代了常规工作,

我认为我们可以、我们应该
而且我们必须创造富有同情心的工作。

你可能会问有多少这样的人,

但我会问你:

你不认为
我们需要很多社会工作者

来帮助我们完成这种转变吗?

你不认为我们
需要很多富有同情心的

护理人员来为更多的人提供更多的医疗服务吗?

你不认为我们需要
10 倍以上的老师

来帮助我们的孩子找到

在这个勇敢的新世界中生存和发展的方式吗?

有了新的财富,

难道我们不应该也把
爱的劳动变成事业

,让陪伴老人

或在家上学也成为事业吗?

(掌声)

这张图肯定不完美,

但它
指出了我们可以使用人工智能的四种方式。

人工智能将
取代日常工作

,在适当的时候,我们将心存感激。

人工智能将
成为创意

人员的绝佳工具,让科学家、艺术家、
音乐家和

作家更具创造力。

人工智能将作为分析工具与人类合作

,人类可以

为高同情心的工作提供温暖。

我们总是可以

通过富有同情心和创造性的独特能力的工作

来区分自己,

利用和利用
我们不可替代的大脑和心灵。

所以你有了它:

人类和人工智能共存的蓝图。

人工智能是机缘巧合。

它在这里将我们
从日常工作中解放出来

,它在这里提醒我们
是什么使我们成为人类。

因此,让我们选择拥抱人工智能
并彼此相爱。

谢谢你。

(掌声)