人工智能和气候变化——每个教室都必备的事

2021-04-05 / Roozbeh Aliabadi / 厚仁VIP工作室, 留学生心理和生活, 职业发展和实习

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当德克萨斯州参议员泰德•克鲁兹(Ted Cruz)关于前往坎昆的报道占据各大报纸头条时，我与德克萨斯州达拉斯市附近的一名小学教师贝基(Becky)进行了一次紧急通话。我们漫不经心地聊了聊德克萨斯州的极端天气，以及参议员Cruz决定在德州遭遇严重的气候危机时休个短假。贝基焦虑地说：“Rooz，我对气候变化的政治不感兴趣；我对通过教育和课堂来应对气候变化很感兴趣。ReadyAI能帮忙吗？“我回答说：”是的，我的意思是。不，我想说的是，Becky，我们真的很想帮忙，我们应该帮忙也必须帮忙。给我一点时间。”上周，我浏览了一下笔记，开始回顾一年前我与卡耐基梅隆大学(Carnegie Mellon University)的普里亚•东蒂(Priya Donti)的对话。Donti是气候变化人工智能(Climate Change AI)的联合创始人兼主席。气候变化人工智能(Climate Change AI)是一项倡议，旨在在气候变化和机器学习的交叉领域催化有影响力的工作。我和我的团队谈过，他们同样认为我们应该把人工智能和气候变化带到课堂上。

气候变化是我们的星球和下一代面临的最大挑战。气候变化确实需要所有可能的解决方案，包括人工智能（自2017年以来，我们在ReadyAI已经将人工智能引入全球教室）等技术。我并不是说人工智能是解决气候变化的灵丹妙药。我提倡每一所学校都教授人工智能概念和气候变化。是的，用机器学习改变气候！尽管人工智能和机器学习可能不是最好或唯一的解决方案，但它们可以为气候变化带来新的见解。

我们需要更好的气候预测:

这是关于超越气候信息学，一个十多年前在数据科学和气候科学的交叉领域创建的学科。今天，人工智能可以帮助释放新的见解（由气候模型生成的模拟），这些见解可以支持更好地进行预测，帮助决策者制定更明智的气候政策，让政府为变化做好准备，并有可能发现可以逆转气候变化某些影响的领域。

我们需要展示极端天气的影响:

看看德克萨斯州最近的极端天气就知道了。许多德州人已经遇到了环境变化的影响。对另一些人来说，它可能看起来不那么有形和可见。今天，许多研究人员使用GANs（一种人工智能）来模拟房屋在被更强烈的极端天气破坏后的样子。

我们必须积极测量碳的来源:

今天，人工智能可以自动分析发电厂的图像和因素，以获取频繁的排放。它还引入了新的方法，通过计算附近基础设施的数量和用电量来衡量电站的影响。这对于燃气发电厂来说是很方便的，因为它们没有煤电发电厂所具有的易于测量的羽流。

这个星球上最重大的挑战可能得益于机器学习（Big Idea 3 – How AI Learns）来帮助解决问题。

当考虑到K12级别的人工智能教育时，我们必须提醒自己，我们负担不起培训下一代最优秀的头脑，让他们思考如何让人们点击广告。我们需要让他们思考气候变化。我们需要与我们的孩子进行对话，理解并减少他们的碳足迹，因为这是唯一的出路。

全球经济正处于历史上最深刻的变革之中。迈向低碳未来，我们需要洞悉我们所做的每一个决定对气候的影响。

简而言之，在ReadyAI，我们认为必须在每个教室讨论人工智能和气候变化。应对气候变化需要从我们的课堂开始集中行动，人工智能教育和机器学习可以在其中发挥重要作用。为了在未来建立一个由不同利益相关者组成的社区来解决这些问题，我们必须从现在开始，从课堂开始。

英文原文

First Title: AI and Climate Change – A BIG MUST for every classroom

As the US Senator from TX – Ted Cruz’s report of leaving for Cancun, dominated the headlines, I had a Zoom call with Becky – an elementary school teacher near Dallas, Texas. We casually chatted about the extreme weather in Texas and Senator Cruz’s decision to take a short vacation while his state suffered a significant climate crisis. Becky, with anxiety, said: “Rooz, I’m not interested in the politics of climate change; I’m interested in tackling climate change through education and my classroom. Can ReadyAI help?” I replied: “Yes, I mean. No. What I want to say, Becky, is that we really want to help. We should help. We must help. Just give me a bit of time.” Last week I ran through my notes and started revisiting my conversation a year earlier with Priya Donti of Carnegie Mellon University, and Co-founder and Chair of Climate Change AI. Climate Change AI is an initiative to catalyze impactful work at the intersection of climate change and machine learning. I talked to my team, and they equally felt that we should bring AI and Climate change to classrooms.

Climate change is the biggest challenge facing our planet and the next generation. Climate change will genuinely need every solution possible, including technology like AI (what we at ReadyAI have been bringing to classrooms worldwide since 2017). I am not suggesting that AI is the silver bullet in solving climate change. I am advocating for every school to teach both AI concepts and climate change. Yes, climate change with machine learning! Although AI and machine learning may not be the best or only solution, they can bring new insight into climate change.

We need better climate predictions:

This is about building beyond climate informatics, a discipline created over a decade ago at the crosssection of data science and climate science. Today AI can help unhitch new insights (simulation generated by climate modeling) that can support making better predictions that can help policymakers make more informed climate policy, allow governments to prepare for change, and potentially discover areas that could reverse some effects of climate change.

We need to show the impact of extreme weather:

Just look at the recent destruction of extreme weather in Texas. Many Texans have already encountered the effects of a changing environment. For others, it might seem less tangible and visible. Today many researchers using GANs, a type of AI, to simulate what homes are likely to look like after being damaged by rising sleeves and more intense extreme weather.

We must actively measure where carbon is coming from:

Today AI can automate the analysis of power plants’ images and factors to get frequent emissions. It also introduces new methods to measure a plant’s impact by crunching the number of nearby infrastructure and electricity usage. That’s handy for gas-powered plants that don’t have the easy-to-measure plumes that coal-powered plants have.

The most significant challenge on the planet might benefit from machine learning (Big Idea 3 – How AI Learns) to help with solutions.

When thinking about AI education at the K12 level, we must remind ourselves that we cannot afford to train our next generation’s best minds thinking about making people click on ads. We need to have them thinking about climate change. We need to have a conversation with our children about understanding and to decrease their carbon footprint because that’s the only way forward.

The global economy is in the midst of the most profound transformation in history. The move to a low-carbon future will require insights into the climate impact of every decision we make.

In short, at ReadyAI we believe that AI and Climate Change must be discussed in every classroom. Tackling climate change requires concentrated action that starts in our classrooms, in which AI education and machine learning can play an impactful role. To build a community of diverse stakeholders in the future to tackle these issues, we must start now, and we must begin in the classroom.