Neutralizing the Impact of Artificial Intelligence on Climate Change

[Applause]

i made sustainability my default choice

in the year 2018

and my vision for the year 2030 is to

neutralize the impact of artificial

intelligence on climate change

seven years one or three days 15 hours

12 minutes

and 6 seconds the clock here is from

manhattan

which shows you the amount of time left

to reverse climate change

seven years one not three days 15 hours

12 minutes and 6 seconds let that sink

in

on 25th of september 2019 approximately

6 million people

across the world protested against the

lack of action

and ownership by global leaders on

climate change

yet there are still a lot of people in

the world who do not believe climate

change is happening

the survey here is done by the yale

school of environment on united states

of america

which shows you that 12 percent of the

people do not believe in global warming

while 47 believe that it’s not going to

affect them

but climate change is real whether you

believe in the science of it or not

and it will affect you even though you

do not live in the cities that are

currently facing wildfires hurricanes

or are going to get submerged by the

year 2050 in water due to climate change

the world health organization estimates

that if climate change remains unchecked

then from the year 2030 to the year 2050

you will have about 2 lakh 50 000 deaths

per year

in fact there’s also research which

shows that climate change affects your

mental health

so how do we stop this a lot of people

believe a way to decarbonize

is to decomputerize technology does have

a massive impact on climate change

technology such as artificial

intelligence intel internet of things

has its own carbon footprint a team at

stanford came up with a tool called

green ai

which shows you the amount of carbon

emissions generated by an artificial

intelligent algorithm

according to the tool a natural language

processing algorithm which is widely

used

in alexa city and other customer service

chatbots

generates about 1 400 pounds of carbon

emissions

which is equivalent to a person taking a

round trip from new york to san

francisco

so does this mean we stop making

innovations and technology

technology has been the one thing that

has kept us together in this kobe 19

pandemic

technology is the way i’m communicating

my thoughts with you

technology is the method that we are

using to online conference our office

colleagues and even video chatting our

friends and family

or even to get your most basic amenities

from online grocery shopping

in fact technology is the very same tool

that we use to even spread awareness on

climate change

each tweet you post generates about 0.2

grams of carbon emissions

and there are about 500 million tweets

which go out in a day

short well let me tell you how each

tweet gets stored and processed in data

centers

these data centers are used for almost

everything on internet

from google searches to instagram posts

to even netflix and amazon

to process the tweet and to share it

with the rest of the world

these data centers run 24 7. now this

energy to run these data centers comes

from burning of fossil fuels

to give you an idea of the intensity of

this in the year 2016 it was reported

that the data centers across the world

consumed about 416.2 terawatts of energy

which was more than the energy

consumption of britain that year

hence making data centers responsible

for 2 percent of global emissions

research shows that if data centers

continue the way they do

then by the year 2040 they will be

responsible for 14

of global emissions which is equivalent

to the emissions of united states of

america right now

so how do we fix this is there a way for

us to neutralize the

negative impact of technology by using

technology for good

the answer is absolutely yes one of the

most common solutions for this problem

is to go green

that is to use renewable energy sources

to power your data centers

instead of fossil fuels but renewable

energy sources comes with its own

challenges

challenge number one they’re

intermittent in nature that is

they’re not constant 24 7. which leads

us to our challenge number two

can these intermittent sources be able

to supply

energy for 24 7 running data centers

also just shifting towards renewable

energy is not enough

the energy pyramid here shows you

exactly that

there is no point of just shifting

towards renewable energy we need to

ensure that the systems

are also energy efficient and have

energy conservation in picture

let me share with you three solutions

where artificial intelligence algorithms

can be used

solution number one artificial

intelligence algorithms such as load

monitoring can be used with your sensors

to manage and track your demand of the

data centers

this ensures that the systems in the

data centers work more efficiently

hence ensuring less amount of energy

consumption

in fact google has already implemented

this and seen a 40 percentage drop in

their energy consumption

solution number two since we knew

renewable energy is not constant in

nature

we need to ensure that the demand of the

data centers is always met by the supply

this can be done by predicting your

supply and demand by using time series

forecasting

solution number three artificial

intelligence algorithms can be used to

schedule data processing across

data centers in the world for example

consider these two data centers

data center one is in usa while data

center 2 is in asia

during the morning in asia where solar

energy is at its peak

the data centers here can run on solar

energy and process the data

while during the night this processing

can be shifted to usa

where it’s still day and solar and

energy there can be used

each of these solutions are already

implemented but

in small scale each of these solutions

can reduce the carbon impact by minimum

20

to 60 percent not only are these

solutions

environment friendly but also budget

friendly since renewable energy is much

cheaper than fossil fuels

so now that we know these solutions

exist what do we need to make this

happen

we need two things one for the present

and one for the future

let’s start with the present first like

bill gates said

we need climate denominators we need

researchers

entrepreneurs scientists engineers

who understand the correlation between

climate change and technology

and create solutions like this now for

the future

we need reducing carbon impact as one of

the core values

while developing anything new in

technology this not only applies for

hardware but software as well

every algorithm that we generate we need

to ensure that the processing takes the

least amount of energy

hence ensuring low carbon emissions with

this i leave you with my vision not just

for 2030 but also beyond it

progress in technology and mitigating

climate change needs to go hand in hand

neither one of them should happen at the

cost of the other

you

[掌声]

我将可持续发展作为我

在 2018 年的默认选择

,我对 2030 年的愿景是

消除

人工智能对气候变化的影响

7 年 1 或 3 天 15 小时

12

分 6 秒 这里的时钟来自

曼哈顿

它向您展示

了扭转气候变化的剩余时间

7 年而不是 3 天 15 小时

12 分 6 秒

2019 年 9 月 25 日,全球约有

600 万人

抗议

缺乏行动

和所有权

气候变化方面的全球领导者

但世界上仍有很多

人不相信气候

变化正在发生

这里的调查是由

美国耶鲁大学环境学院完成的

,显示有 12% 的

人相信 不相信全球变暖,

而 47 人认为这不会

影响他们,

但无论你是否相信它的科学,气候变化都是真实的

即使您

不住在

当前面临野火飓风

由于气候变化到 2050 年将被淹没在水中的城市,它也会影响您

世界卫生组织估计

,如果气候变化仍然不受控制,

那么从 从 2030 年到 2050 年,

您每年将有大约 20 万 50 000 人死亡

事实上,还有研究

表明气候变化会影响您的

心理健康,

所以我们如何阻止这种情况很多人

认为脱碳的一种方法

是使技术去计算机化 确实对人工智能

等气候变化技术产生了巨大影响

英特尔物联网

有自己的碳足迹

斯坦福大学的一个团队提出了一个名为“

绿色人工智能”的工具

,它可以根据人工智能算法向您显示

由人工智能算法产生的碳排放量

该工具是一种自然语言

处理算法,广泛

用于alexa city和其他客服

聊天 机器人

产生大约 1400 磅的碳

排放量

,这相当于一个人

从纽约到旧金山的往返行程,

这是否意味着我们停止

创新,而

技术是

让我们在这个 kobe 19 中团结一致的一件事

流行病

技术是

我与您交流想法

的方式技术是我们

用来在线会议我们的办公室

同事甚至视频聊天我们的

朋友和家人

甚至

从在线杂货店购物

中获得最基本的便利的方法实际上是技术

是我们用来传播

气候

变化意识的工具

并在数据中心处理

这些数据中心用于

互联网上的几乎所有内容,

从谷歌搜索到 instagram

帖子甚至是 netfl ix 和

amazon 处理推文并

与世界其他地方分享

这些数据中心 24 小时运行 7. 现在

,运行这些数据中心的能量

来自化石燃料的燃烧,

让您了解

这在 据报道,2016 年

全球数据中心

消耗了约 416.2 太瓦的能源

,超过

了英国当年的能源消耗量,

因此数据中心

占全球排放量的 2%。

那么到 2040 年,他们将

负责 14

的全球排放量,这

相当于美国现在的排放量,

所以我们如何解决这个问题,我们有办法

通过使用技术来抵消技术的负面影响

永远

的答案是肯定的

,这个问题最常见的解决方案之一

是走向绿色

,即使用可再生能源

为您的数据中心供电

替代化石燃料,但可再生

能源有其自身的

挑战

挑战一 它们

在本质上是间歇性的,即

它们不是恒定的 24 7. 这

导致我们面临挑战

二 这些间歇性能源能否

为 24 7 个正在运行的数据中心

也仅仅转向可再生

能源是不够

的,这里的能源金字塔向您

准确地表明

,仅仅转向可再生能源是没有意义的,

我们需要

确保系统

也是节能的,并且

在图片中具有节能效果

我与您分享三个可以

使用人工智能算法的

解决方案 第一个

人工智能算法(例如负载

监控)可以与您的传感器一起使用,

以管理和跟踪您对

数据中心的需求

这确保数据中心中的系统

工作得更多 有效地

因此确保更少的能源

消耗实际上谷歌已经实现了 实现了

这一点,并看到

他们的第二个能源消耗

解决方案下降了 40%,因为我们知道

可再生能源本质上不是恒定的,

我们需要确保

数据中心的需求始终由供应来满足,

这可以通过预测您的供应来完成

通过使用时间序列

预测

解决方案的需求和需求 第三个

人工智能算法可用于

安排跨

世界数据中心的数据处理,例如

考虑这两个数据中心

数据中心 1 在美国,而数据

中心 2 在亚洲

的早上

太阳能达到顶峰

的亚洲,这里的数据中心可以依靠太阳能运行

并处理数据,

而在夜间,这种处理

可以转移到美国

,那里仍然是白天,

那里可以使用太阳能和能源

,这些解决方案中的每一个都已经

这些解决方案中的每一个都

可以将碳影响减少至少

20

% 到 60%

环境友好但预算

友好,因为可再生能源

比化石燃料便宜得多,

所以既然我们知道这些解决方案

存在,我们需要什么来实现这一

目标,

我们需要两件事,一件用于现在

,一件用于未来

让我们从现在开始 首先就像

比尔·盖茨说的

我们需要气候分母 我们需要

研究人员

企业家 科学家

工程师了解气候变化与技术之间的相关性

并为未来创造这样的解决方案

我们需要将减少碳影响作为

核心价值观之一,

同时开发任何新

技术 这不仅适用于

硬件,也适用于软件以及

我们生成的每个算法,我们

需要确保处理过程消耗

最少的能量,

从而确保低碳排放

,我给你留下我的愿景,不仅

是 2030 年,还有超越它的

进展 在技术和缓解

气候变化方面需要

齐头并进 其中的一个应该以

牺牲另一个你为代价