How AI and humans are keeping each other alive

[Music]

[Applause]

what do you feel

when i say artificial intelligence

not what you think it is what do you

feel

when i say artificial intelligence

that’s the question

i ask my mba students when they start

their journeys

ai will do amazing things

to humanity if

it is used right in the last 20 years

i was a part of dozens of ai projects

we use ai to save lives

we use ai to make them better but the

responses that i get about

feelings are not optimistic

they are not even positive

many people say they fear that if they

bring ai

to their companies they’ll spend

millions but eventually they’ll fail

no wonder almost 90 percent

of ai projects today fail to bring

results

many other people say they fear that in

the near future

ai will take their jobs

clearly humanity cannot enjoy

the benefits of ai when so many

wonderful people

fear ai three years ago

i decided to look for a solution for

this

big problem if there is a solution

and i started researching along my

research

i learned two things the first

that we have to divide responsibilities

what’s for humans and what’s for ai

the second is that the most successful

companies

they don’t focus on how to use ai to

replace humans

they focus on creating

coexistence between humans and ai

and then eventually after a long

research i found a solution

i call it the two piece of human

and a.i coexistence it’s about

letting ai do the predictions and then

letting humans take these predictions

and make wonderful things with them

in short predictions for ai planning for

humans

the two p’s for their research i looked

at

all of the ventures that i was a part of

and many more

it took me back to ask why i coexist

with ai so well

what makes me love ai so much

as a child i was very close to my

grandfather

shraga along my childhood he used to

tell me many stories

he was a holocaust survivor so

some of the stories were about our

family

that died in the holocaust and about his

childhood

as a partisan in the cold forests of

belarus

even took me there when i was 12.

without his intentions he planted two

things in me

one the need to be a protector of life

and the second the belief that i can

if he could then i can but

the thing is that i’m not exactly gi

jane

in fact the reason that my leg is broken

right now

is not because i did anything cool it’s

just because

i was excited about something at work

went outside of my office

walked a little faster than usual

stumbled and fell

so clearly i cannot use my physical

abilities to

be a protector gladly i was very good at

mathematics and computer programming

and then at the age of 18 i joined the

army and at the age of 19 i already

became

the head of a big technological system

a system took a lot of data and using ai

it generated predictions for terror

attacks

i still remember what my commanders told

me

your system helps saving so many lives

because it gives us time time for what

time to plan how to save as many

people as possible you know these things

are very complex

again i learned two things the first

that i can use ai to protect life

and then i fell in love with ai

and data and the second

is that the collaboration between

human and ai is so powerful it can save

lives

after the army for 15 years i worked on

dozens of ai projects and ventures

not all of them in saving lives many

just making them more fun

and easier you probably know this one

when you add pasta to your online

shopping cart

and then you immediately get a

recommendation for a sauce

here’s the sauce on my daughter’s face

that’s the thoughts that was

recommended me by the ai system and the

thing is that i did not

created the division between prediction

and planning

it’s something our brain does naturally

ever since we are born thousands of

times a day

suppose a bee would enter this room

right now

our brain will immediately start to

scan all the data that is relevant to

the event

it will classify the bee as an animal

and then

an animal that is may be dangerous for

us

and then it will

look at the speed and create a

prediction

that’s something that ai is very good at

but then it will move to the second part

the planning what’s the best plan for us

in this case some of you will decide

to run from the door and shut the door

i cannot do that my leg is broken so

i’ll probably freeze and pretend to be a

statue

you know the planning is very specific

to the person

and to the situation this is for humans

at least in the next few years

so how does it work in ai

projects this is tom

my friend he’s a senior medical doctor

in a large research hospital he called

me a year ago

and he said hug it i have plenty of data

about patients

and i think that if we use ai

we can fight colon cancer much better

it got me very curious and then he

continued

it’s a problem of no show half of the

people that we

send for a colonoscopy don’t show up

or just push back their appointments

over and over and over again

the problem is that some of them already

develop cancer

and this is a huge problem because colon

cancer

develops fast i need you

to find who are the people that will

continue pushing back

and are developing cancer

i wanted to immediately start working on

this

it’s about saving lives

but i knew that if we will not follow

the two p’s

of human and ai coexistence

we will not be among the 13 that succeed

so i asked him what will you do

if i’ll give you the system that gives

you the predictions

instead frankly

i can’t tell you yet but i promise you

that if you will identify the people

who are in danger we’ll find ways to

treat them

so i started working and a few weeks

afterwards

i started avoiding tom it’s just that

i didn’t like the accuracy of the system

it got only

to 65 accuracy

i thought it’s not good enough but

eventually i had to speak with him

and i said tom i’m sorry i don’t think

that it is possible to predict who will

be

in this dangerous situation

tom insisted that i’ll show him the

statistics

the results of the system

and then there was silence

and he said hagit

if the system

identified only 10 of the people that

are in this dangerous

situation it would have been great

your system identifies 65

of the people who are in dangerous

condition it’s amazing

you see the only ones who get

to decide what is fruitful for them

which prediction works are the decision

makers

are the terms are the clients not the

data scientists

unfortunately it usually doesn’t work

because most

projects and companies and ventures

don’t follow the two p’s

of human and ai coexistence and then

humans don’t

take the responsibility after they get

the predictions

a few weeks ago i talked with a friend

of mine who is a

data scientist i wanted to consult and

talk with him about data science

but i also told him about two companies

that i work with

on systems to predict who among their

customers

is probably going to churn

probably going to leave the company

and then he told he said hagit

i recommend you to stop working on these

projects they will not be good for you

i asked why and he told me that recently

he

worked on such a project and

he gave the company that he worked with

accurate predictions about

these people that might churn they

took this list moved it to sales the

sales people called

these people and guess what happened

they got reminded the customer got

reminded that they want to leave the

company

and use that opportunity to live

so you understand that the problem

wasn’t that they had

a system that predicted who is not happy

and

want to live but this the problem was

that they didn’t use the two pieces of

human and ai coexistence

once the managers had the predictions

they automatically moved it to the sale

they didn’t use the predictions to plan

how to save their customers

as humans to humans

their customers are humans you know so

that’s the thing

while many people fear

fear of ai i fear that if we

don’t use ai rights we will lose

our humanity because

in this era we’ll continue collecting

more

and more and more data and decision

making will become

more and more and more complex

and we have a choice we either fear ai

and then we waste all of our time in

trying to make sense

of lots of data discuss it make

predictions

or we use ai to make

quick and specific predictions

in whatever field we are healthcare

agriculture business energy education

saving our planet we use these

predictions

and we plan

how to make better things for humans

from humans to humans

from humans to humanity

it’s our choice it’s in our ends

thank you

you

[音乐]

[掌声]

当我说人工智能时你有什么感受,

而不是你认为的那样

当我说人工智能时你有什么感受这是我

我的 MBA 学生开始他们的旅程时问他们的问题

ai 将为人类做出惊人的事情

如果在过去 20 年中使用得当,

我参与了数十个人工智能项目,

我们使用人工智能来拯救生命,

我们使用人工智能让他们变得更好,但

我得到的关于

感受的反应并不乐观,

他们甚至不是积极的

很多人 说他们担心如果他们

将人工智能

带入他们的公司,他们会花费

数百万美元,但最终他们会失败,

难怪今天几乎 90%

的人工智能项目都无法带来

成果

许多其他人说他们担心

在不久的将来

人工智能会占据他们的 工作

显然人类无法享受

人工智能带来的好处三年前有这么多

优秀的人

害怕人工智能,

我决定寻找解决

这个

大问题的解决方案,如果有解决方案

,我开始沿着 m 研究 y

研究

我学到了两件事,第一

,我们必须分清责任,

什么对人类有利,什么对人工智能有利

;第二,最成功的

公司并不专注于如何使用人工智能来

取代人类,

而是专注于创造

人类和人类之间的共存。 人工智能

,然后最终经过长时间的

研究,我找到了一个解决方案,

我称之为人类和人工智能共存的两部分,

它是关于

让人工智能进行预测,然后

让人类接受这些预测

,并

在简短的预测中做出精彩的事情,为人工智能规划

人类

这两个 p 的研究我查看

了我参与的所有企业

以及

更多我回过头来问为什么我

与 AI 共存得如此之好

是什么让我

从小就如此爱 AI 我非常接近 在我童年的时候,我的

祖父

shraga 经常给

我讲很多

他是大屠杀幸存者

的故事,所以有些故事是关于我们

在大屠杀中丧生的家庭和他的

孩子 dhood

作为白俄罗斯寒冷森林的

游击队员,

甚至在我 12 岁的时候就把我带到了那里。

没有他的意图,他在我身上种下了两

件事,

一是需要成为生命的保护者

,二是相信我可以,

如果他可以的话,我可以 可以,

但问题是我并不完全是 gi

jane 事实上我现在腿骨折的原因

不是因为我做了什么很酷的事情,而

只是因为

我对工作中的某些事情感到兴奋

走出办公室

走得更快了 比往常

跌跌撞撞,摔得

很明显,我不能用我的身体

能力

当保护者,我很擅长

数学和计算机编程

,然后在 18 岁时我加入了

军队,在 19 岁时我已经

成为

了领导 一个大型技术系统

一个系统获取大量数据并使用

人工智能生成恐怖

袭击的预测

我仍然记得我的指挥官告诉

你的系统帮助挽救了这么多人的生命,

因为它给了我们时间来决定什么

时候去 一个如何拯救尽可能多的

人你知道这些

事情又很

复杂我学到了两件事

第一我可以用人工智能来保护生命

然后我爱上了人工智能

和数据第二

是人类之间的合作

人工智能是如此强大,它可以

在军队服役 15 年后拯救生命 我参与了

几十个人工智能项目和冒险,

并不是所有的项目都在拯救生命,很多

只是让它们更有趣

、更容易

当你在你的食物中添加意大利面时,你可能知道这个 在线

购物车

,然后你立即得到

推荐酱汁

这是我女儿脸上的酱汁

这是

人工智能系统推荐给我的想法,

问题是我没有

创建预测和计划之间的划分

它是我们的大脑

自从我们每天出生数千次以来,自然

会假设蜜蜂现在进入这个房间,

我们的大脑会立即开始

扫描与电子相关的所有数据

发泄

它会将蜜蜂分类为一种动物

,然后

是一种可能对我们有危险的动物

,然后它会

查看速度并创建

一个人工智能非常擅长的预测,

但随后它将进入第二

部分 计划什么是对我们最好的计划

在这种情况下,你们中的一些人会决定

从门外跑去关上门

我不能这样做,因为我的腿断了,所以

我可能会冻僵并假装成一

尊雕像

你知道计划非常 具体

人和情况这

至少在未来几年内适用于人类

所以它如何在人工智能

项目中发挥作用这是汤姆

我的朋友他

是一家大型研究医院的高级医生他

一年前打电话给我

他 说拥抱它,我有很多关于患者的数据

,我认为如果我们使用人工智能,

我们可以更好地对抗结肠癌,

这让我很好奇,然后他

继续说,

这是一个问题

,我们

派去进行结肠镜检查的人中有一半没有出现 不出现

或只是 一次又一次地推迟他们的约会

问题是他们中的一些人已经

患上了癌症

,这是一个大问题,因为结肠癌

发展得很快,我需要

你找出谁会

继续推迟

并患上

癌症 想立即开始工作,

这是关于拯救生命,

但我知道如果我们不遵循

人类和人工智能共存的两个 p,

我们将不会成为成功的 13 人之一,

所以我问他,如果我给你,你会怎么做

坦率地说,

我还不能告诉你,给你预测的系统,但我向你

保证,如果你能确定

处于危险中的人,我们会找到

治疗他们的方法,

所以我开始工作,几周

我 开始避开汤姆,只是

我不喜欢系统的准确度,

它只

达到了 65 的准确度

它是 有可能预测谁会

处于这种危险的境地

汤姆坚持要我给他看系统的

统计结果

然后大家沉默了

他说

如果系统

只识别出

处于这种危险

境地的 10 个人 本来会很棒,

您的系统可以识别出 65

个处于危险

状态的人 令人惊讶的是,

您看到唯一

能够决定什么对他们有成果的人

哪些预测有效的是

决策者 条款是客户而不是

数据科学家

不幸的是 它通常不起作用,

因为大多数

项目和公司和风险投资

不遵循

人类和人工智能共存的两个p,然后

人类

在得到预测后不承担责任

几周前我和我的一个朋友交谈

谁是

数据科学家我想咨询并

与他讨论数据科学,

但我也告诉他我与两家公司

合作

开发系统以预测 wh o 他们的

客户可能会流失

可能会离开公司

然后他告诉他说 hagit

我建议你停止从事这些

项目 他们对你没有好处

我问为什么,他告诉我最近

在工作 这样一个项目,

他给了公司,他对这些人进行了

准确的预测,

这些人可能会流失 他们

把这张清单移到销售

部门 销售人员给

这些人打电话,猜猜发生

了什么 他们被提醒 客户被

提醒他们想离开 公司

并利用这个机会生活

所以你明白

问题不在于他们有

一个系统可以预测谁不开心

想要生活,但问题

是他们没有使用人和人工智能这两个部分

共存

一旦经理们有了预测,

他们就自动将其转移到

销售中 人类你知道,所以

这就是事情,

虽然许多人

害怕人工智能,但我担心如果我们

不使用人工智能权利,我们将失去

我们的人性,因为

在这个时代,我们将继续收集

越来越多的数据,

决策将成为

越来越复杂

,我们有一个选择,要么害怕人工智能

,然后我们浪费所有时间

试图

理解大量数据,讨论它做出

预测,

或者我们使用人工智能在我们的任何领域做出

快速和具体的预测

医疗保健

农业 商业 能源 教育

拯救我们的星球 我们使用这些

预测

,我们计划

如何为人类创造更好的东西

从人类到人类

从人类到人类

这是我们的选择 它是我们的目的

谢谢你