AI is shaking the labour market Lets save the labour

[Music]

last year

i registered my sun at school in the

application form

on paper of course i had to mark that i

am aware

and agree on the school rule prohibiting

cell phones and digital devices on the

school premises

i thought rather than ban them

shouldn’t we teach the kids how to deal

with those devices

properly if the kids don’t learn it at

school

then where by prohibiting digital

devices

where the kids learn most we strengthen

their belief that the analog reality

and the digital space are two totally

different words

instead we should teach them that the

same rules and values

of the analog word are also applicable

to the digital one

our children will be the ones designing

and building the machines of the future

why aren’t we preparing them for it

that day i realized how different my

professional reality was from school

reality

my job consists in helping my company

leverage technology to develop new

products and to increase efficiency

but in a human-centered way

while assessing processes that people

perform every day

my team and i focus on the people behind

these processes

we discuss with them about the tasks

they perform every day

and let them talk about

let them identify the automation

potentials

i hear two business challenges and

discuss with business leaders how we can

use technology to solve these challenges

i talk with colleagues who are afraid of

losing their jobs

and others who feel relieved after a

robber took over the repetitive tasks

i hear people talking positively about

automation freeing up resources for a

more creative endeavor

and others who claim to need these

repetitive tasks to disconnect from

their stressful lives

all in all i witnessed daily how

artificial intelligence

is changing the labor market and with it

people’s lives

according to a study of the organization

of economic development

cooperation and development 14

of the jobs have a potential of

automation of over 70 percent

this is equivalent to 66 million workers

in the 32 country covered by the study

in addition another 32 percent

have a potential of automation of

between 50

and 70 changing

the way these jobs are carried out and

hence changing the skill sets of the job

putting aside the numbers

let’s have a look at a couple of

examples proving how the shifts in tasks

between humans and machines is already

in motion

what you see on the picture is an

airplane factory back in the 40s

nowadays we mainly see robots in

factories

and these robots are building other

robots

in the healthcare sector we used to have

simple utensils

nowadays we have machines we have

surgery rooms full of machines

and in the near future we will have

robots performing the surgery by

themselves

of course steered by a doctor but she

won’t need to be in the same surgery

room as the patient anymore

or something as basic as grocery

shopping will be disrupted

by sensors and cameras equipped with

artificial intelligence

installed everywhere enabling a

supermarket to function without

registers cashiers checkouts or lines

or something as arts ladies and

gentlemen

meet the first rembrandt painted by your

computer

and printed by a 3d printer through the

3d printing you can recognize the brush

stroke

which is something individual to each

artist

or music

[Music]

what we just heard is beethoven’s 10th

symphony you read it correctly and you

heard it correctly the 10th

symphony in fact beethoven started

writing it before he died

but he never finished it that’s why it’s

unknown and to his 250th birthday last

year

deutsche telekom initiated a project to

end the 10th symphony with the help of

ai

and of course with the help of many

human experts ai

and music experts as you can see

not even arts will be something an

endava restricted to humans

at this point i guess you want to hear

which jobs

won’t be automated right at furniture

unfortunately

no jobs are 100 safe the extent of

disruption

will depend on the skill set of the jobs

but don’t worry there is hope mainly

because of two reasons

first because there’s another study of

course

so the word economic forum future of job

reports of 2020

estimated that by 25 85 million jobs

may be displaced by the

the reallocation of tasks from machines

from humans to machines while

97 million jobs may erase

this confirms what we have seen in the

past

in fact in developed countries

employment has been

increasing despite automation

many new jobs exist today that didn’t

exist in the past

think of a data master for example

for those who hear the term for the

first time it’s one of the roles of data

scientists

second there are the so-called

bottlenecks of automation

these are the tasks that based on the

actual state of knowledge are very hard

to automate

they include perception manipulation

which is the ability to carry out

physical tasks and manual tasks in an

unstructured work environment

creative intelligence and social

intelligence

unfortunately emotional intelligence

hasn’t reached the attention it deserves

but we need to change that engineering

and coding skills

are not the only we need

new skills and strength to make sure

that we are prepared

for this technological revolution

according to daniel goleman this is the

american psychologist who helped

popularize it emotional intelligence

is self-awareness self-regulation

motivation

empathy and social skills

those are the skills that are that

robots don’t have

that are unique to humans and that will

be so crucial

in the labor markets of the future

and talking about the future let’s have

a look to the at the past

so if we look back in history automation

has been around for hundreds of years

and yet we managed to cope and to create

new employment the automation of the

agriculture gave away to manufacturing

and the automation of manufacturing gave

away to services

during the industrial revolution the

machines took over the physical tasks

so people developed cognitive skills

in this technological revolution

machines are taken over

cognitive skills so people need to

harness

emotional intelligence

if we don’t manage to teach our children

and adults

in improving their emotional

intelligence then we might end up in the

scenario people fear the most

i call it the ai dystopia

we are familiar uh with automation

in factories but the same is happening

in offices

the only difference is that the robots

are not hardware

but software you cannot touch them but

they are everywhere

instead of seeing more robots you just

see less people

data entry clerks accountants

bookkeepers auditors or even customer

service workers were highly replaced by

software

robots only a small elite designing and

building the robots

are the remaining few office workers

and the elite is small because we were

not able

to overcome the digital divide

since we didn’t manage to upgrade the

school system we kept

preparing the masses for repetitive

tasks while the most privileged attended

extracurricular activities to enhance

iq and eq but after

reaching a certain oh sorry and the

advancements

in technology enable

the computers the robots to acquire even

more intelligence

allowing them to perform even more

complex tasks

so after searching a tipping point the

few romanian workers

complained to the big boss

so what he says what are you going to do

strike go ahead there are enough robots

capable of doing the job

they strike lose their job and spend the

rest of their

life on couch playing video games while

video surveillance cameras installed

everywhere monitor every movement

and alert the big boss should anyone

make a stand against the system

scary scenario isn’t it okay

let’s rewind back to our starting point

with the office full of people and have

a look at the ai

utopia of course the robots are getting

smarter and smarter

but people are getting smarter too

we provided enough training provision

particularly for low

low low-skilled workers we we

straightened

the learning the training policies and

prepared the message for the new

requirements

and we train the people to reflect more

on the tasks they perform daily

now they’re able to identify the tasks

that are not worth

being done by humans they are the ones

identified identifying the automation

potentials

and asking the robots to take over their

jobs

or they might even build the robots

themselves in any case

we taught them how to extract the robot

out of the human

they are free to choose what to do in

their freedom capacity

we empower them to do so because we

believe that every individual

has a talent that should come to light

and it does

because we leverage eq we strengthened

people’s self-esteem and believed in

them

we flattened the hierarchies and

distributed the power

and we trained people and awakened their

curiosity

now they are actively they’re hungry for

knowledge are

actively acquiring new skills with the

newly gained skills

they are able to invent new products

and services to the arts

sports or maybe spend more times with

their families

while very important while the robots

are doing the job

what may seem like an utopia is actually

very realistic

many of the methodologies i mentioned

are not new

we know how to face the challenge we

just need to start executing

and to start executing we need to stop

fearing

fearing technology fearing ai and

fearing change

the fear of ai is something i witness

very often

most people picture the terminator when

they hear the term ai

to change that i started giving

workshops for non-tech people

explaining the most used ai and machine

learning methodologies

using examples of our daily lives and

avoiding any mathematical formulas

during the workshops i could really see

how the facial expression of the

attendees

were getting more and more relaxed many

of them approached me at the end

to tell me that they feel relieved after

hearing my explanation

having witnessed that for so many times

i decided to bring my message to a

broader audience

so i wrote a book and yes

a real book in paper

believe me writing this book was a huge

challenge

on top doing it on top of on on my uh

already full and stressful life

but the will to contribute to ai

literacy

was much stronger than the need of

relaxing

i believe everyone should be informed

about ai

and how it is impacting our lives

understanding technology is the first

step

in shaping one’s own future

i’m standing here a divided person

on the one side i am a tech expert

excited about the technological

developments

i truly believe that they can help us

tackle many of the

the challenges we have on the other side

i am a worried mother seeing that the

future sees developing professionally

is moving at light speed while the

education of her children is stagnating

i am a worried colleague citizen

and friend feeling people’s fear

about ai but i take their fear seriously

because i believe that those who fear

the most will be affected the most

but we shouldn’t let fear win societies

have been fearing automation for

hundreds of years

the steam engine the spinning jenny the

cars

the the assembly line the computer now

the ai

every revolution started with fear with

fear of what is to come

but as mercury put it nothing in life is

to be feared

it’s only to be understood

now it’s the time to understand with our

brains

and with our hearts thank you

[Music]

[音乐]

去年

我在纸上的申请表中注册了我在学校的太阳

当然我必须标记

我知道

并同意学校规定禁止在校内使用

手机和数字设备

我认为而不是禁止它们

应该 如果孩子们在学校不学习,我们不教孩子如何正确

处理这些设备

那么通过

禁止孩子们学习最多的数字设备,我们加强了

他们的信念,即模拟现实

和数字空间是两个完全

不同的

相反,我们应该教他们模拟词的

相同规则和

价值也适用

于数字词

我们的孩子将是设计

和制造未来机器的人

为什么我们不为他们做好准备

那天我意识到 我的

职业现实与学校

现实有多么不同

我的工作在于帮助我的公司

利用技术开发新

产品并提高效率

在评估人们

每天执行的流程时进入方式

我和我的团队专注于这些流程背后的人

我们与他们讨论他们每天执行的任务

并让他们谈论

让他们识别自动化

潜力

我听到两个业务挑战并

讨论 与业务领导者讨论我们如何

使用技术来解决这些挑战

我与害怕

失去工作的同事

以及在强盗接管重复性任务后感到宽慰的其他

人交谈 我听到人们积极谈论

自动化释放资源以进行

更具创造性 根据经济发展合作

与发展组织 14 的一项研究,

我每天都目睹

人工智能

如何改变劳动力市场以及

人们的生活

。 这些工作的

自动化潜力超过 70%

这相当于

研究涵盖的 32 个国家/地区的 6600 万工人

,另外还有 32% 的

人具有

50

到 70 之间的自动化潜力,从而

改变这些工作的执行方式,

从而改变工作的技能组合。

数字

让我们看几个

例子,证明

人类和机器之间

的任务转移是如何

发生的 你在图片上看到的

是 40 年代的飞机工厂

现在我们主要在工厂看到机器人

,这些机器人正在建造

医疗保健领域的其他机器人 我们曾经有

简单的器具

现在我们有机器 我们有

充满机器的手术室

在不久的将来我们将有

机器人

自己

进行手术 当然由医生指导,但

她不需要 不再与患者在同一个

手术室,

或者像杂货店购物这样基本的事情

将被

配备人工 i 的传感器和摄像头干扰

智能

安装无处不在,使

超市无需

收银台收银台结账或排队

或其他东西作为艺术女士

们先生们

遇到第一个由您的计算机绘制

并由 3d 打印机通过

3d 打印打印的伦勃朗,您可以识别笔触

,这是个人的东西 每个

艺术家

或音乐

[音乐]

我们刚刚听到的是贝多芬的第 10

交响曲,你读对了,你也

听对了 第 10

交响曲实际上贝多芬

在他去世前就开始写了,

但他从未完成,这就是为什么它

不为人知,直到他 250 岁生日

去年,

德国电信发起了一个项目,

在 AI 的帮助下结束第十交响曲

,当然还有许多

人类专家 AI

和音乐专家的帮助,正如你所看到的

在这一点上,即使是艺术也不会成为仅限于人类的东西我 猜你想知道

哪些工作

不会在家具领域实现自动化

不幸的是

没有工作是 100 安全的

中断的程度

将取决于工作的技能组合,

但不要担心,有希望主要是

因为两个原因,

首先因为当然还有另一项研究,

所以 2020 年就业报告的经济论坛未来一词

估计将有 25 8500 万个工作岗位

可能会

因任务从人到机器的重新分配而被取代,

9700 万个工作岗位可能会消失

这证实了我们过去所看到

的事实 事实上,在发达国家,

尽管自动化,

但就业人数一直在增加

例如,

对于那些第一次听到这个词的人来说,想想数据大师,

它是数据科学家的角色之一,

其次是所谓

的自动化瓶颈,

这些是基于

实际状态的任务 知识

很难自动化

它们包括感知操纵

,即在非结构化工作环境中执行

物理任务和手动任务的能力

不幸的是,情商

还没有得到应有的关注,

但我们需要改变的是,工程

和编码技能

并不是我们需要

新技能和力量的唯一因素,以

确保我们

为这场技术

革命做好准备。 丹尼尔·戈尔曼 这是

帮助

普及它的美国心理学家 情商

是自我意识 自我调节

动机

同理心和社交

技能 这些是

机器人所没有的技能

,是人类独有的

,在 未来的劳动力市场

和谈论未来让

我们回顾过去,如果我们回顾历史,自动化

已经存在了数百年

,但我们设法应对并创造

新的就业机会,

农业自动化 在工业 r 期间放弃了制造

和制造的自动化

放弃了服务

进化

机器接管了物理任务,

因此人们

在这场技术革命中发展了认知技能

机器接管了

认知技能,因此人们需要

利用

情商

如果我们不设法教我们的孩子

成人提高他们的情商,

那么我们可能会 最终出现在

人们最害怕的场景中,

我称之为人工智能反乌托邦,

我们熟悉,嗯

,工厂自动化,但办公室也发生了同样的情况

唯一的区别是机器人

不是硬件

而是软件,你无法触摸它们,但

它们无处不在

而不是看到更多的机器人,你只是

看到更少的人

数据录入文员 会计师

簿记员 审计员甚至客户

服务人员 被

软件

机器人高度取代 只有一小部分设计和

制造机器人的精英

是剩下的少数办公室工作

人员 精英很小,因为我们是

无法克服数字鸿沟,

因为我们没有设法升级 评价

学校系统,我们一直

在为群众准备重复性

任务,而最有特权的人参加

课外活动以提高

智商和情商,但在

达到一定程度后,对不起

,技术进步

使计算机能够获得

更多的智能,

从而使机器人能够执行 甚至更

复杂的任务,

所以在寻找一个临界点之后,

少数罗马尼亚工人

向大老板抱怨,

所以他说你要做什么

罢工继续有足够的机器人

能够完成他们罢工的工作,

他们失去了工作,

剩下的就花光了

他们在沙发上玩电子游戏的生活,而

到处安装的视频监控摄像头监控每一个动作,

并在有人反对系统时向大老板发出警报

可怕的场景是不是可以

让我们回到我们的起点

,办公室里挤满了人

看看人工智能

乌托邦当然机器人

越来越聪明

但人 我们也变得越来越聪明

我们提供了足够的培训,

特别是针对

低技能的低技能工人 我们

理顺

了学习培训政策并

为新要求准备了信息

,我们培训人们更多地

反思他们现在每天执行的任务

能够识别

不值得

人类完成的任务 他们是

识别出自动化

潜力

并要求机器人接管他们的

工作的任务,

或者他们甚至可以自己制造机器人

,无论如何

我们教他们如何提取 机器人

脱离人类

他们可以自由选择做什么 以

他们的自由能力

我们授权他们这样做,因为我们

相信每个人

都有应该被曝光的才能,

因为我们利用 eq 我们增强了

人们的自尊心 并相信

他们,

我们扁平化等级并

分配权力

,我们培训人们并唤醒他们的

好奇心,

现在他们 积极 他们渴望

知识

积极利用

新获得的技能获得新技能

他们能够为艺术运动发明新产品

和服务,

或者可能花更多时间与家人在一起,

而机器人

在做这项工作时非常重要

看起来乌托邦实际上是

非常现实

的 我提到的许多方法

都不是新的

我们知道如何面对挑战 我们

只需要开始执行

并开始执行 我们需要停止

害怕

害怕技术 害怕人工智能

害怕改变 人工智能是我经常看到的东西,

大多数人在

听到

人工智能改变这个词时会想到终结者

在研讨会期间,我真的可以看到

与会者的面部表情是如何变得越来越相关的 xed

他们中的许多人最后走近我

告诉我,他们在听到我的解释后感到如释重负,

因为见证了很多次

我决定将我的信息带给

更广泛的受众,

所以我写了一本书,是的,

一本真正的纸质书

相信 我写这本书是一个巨大的

挑战

,在我

已经充实和压力很大的生活之上,

但是为人工智能扫盲做出贡献的意愿

比放松的需要要强烈得多,

我相信每个人都应该

了解人工智能

以及如何 它正在影响我们的生活

理解技术

是塑造自己未来的第一步

我站在这里 一方面是一个分裂的人

我是一名

对技术发展感到兴奋的技术专家

我真的相信它们可以帮助我们

解决许多问题

我们在另一边面临的挑战

我是一位担心的母亲

我是一个担心的同事公民

和朋友,感受到人们

对人工智能的恐惧,但我认真对待他们的恐惧,

因为我相信那些

最害怕的人会受到最大的影响,

但我们不应该让恐惧战胜社会

数百年来一直害怕自动化

蒸汽机 旋转的珍妮

汽车 装配线 现在的计算机

AI

每一次革命都始于

对即将发生的事情的恐惧,

但正如水星所说,生活中没有

什么是值得害怕的,

现在是时候了 用我们的

大脑

和我们的心去理解谢谢你

[音乐]