Machine Ecology

The earth is sick, and the causes of its disease lie in our choices, our myopia, and our lack of imagination. Climate change, with deforestation, melting glaciers, mass extinctions and carbon emissions, is the biggest problem of the century. If you struggle to understand what is ruining our planet, perhaps you should look for clues in artificial intelligence.


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AI machine ecology blog

My article in Data Driven Investor published 22th of September 2020 on Machine ecology.

Climate change, with deforestation, melting glaciers, mass extinctions and carbon emissions, is the biggest problem of the century. If you struggle to understand what is ruining our planet, perhaps you should look for clues in artificial intelligence. Oceanographers, biologists, and meteorologists successfully use a host of applications that allow you to see our planet from a whole different perspective.

Apocalypse according to the UN

As I was writing this post, I came across a dozen or so of articles on climate change. I never searched for this information. Some of it came to my mailbox in the form of headlines, the rest I came across easily on major websites. All of it had been published a day, if not hours earlier. The gist of each story was nearly identical to what I found in the New York Times: “… The world’s land and water resources are being exploited at unprecedented rates, which combined with climate change is putting dire pressure on the ability of humanity to feed itself…” A similarly somber mood dominated each of the other articles, many of which struck truly apocalyptic tones. And no wonder. A sense of a looming disaster is dawning on all of us.

And yet the sun is kind

This may sound provocative but I think that there is light at the end of the tunnel in which we have all found ourselves. This may be a mere coincidence but it gives me hope: the common concern for the health of our planet coincided almost to the year with the acceleration of technological advances in the last two decades. Hence, digital business developers grew up naturally aware of the poor shape our climate is in. No wonder that startups and multinationals alike increasingly put pro-ecological ideas into their business DNA and engage in the fight to heal our planet. According to optimists (of whom I am one), it is the huge potential of modern technology that makes possible the realization of progressive sustainable development ideas. With the rapid growth of the processing power of computers and the volumes of data available for analysis and machine learning, the speed of deployment of new solutions and the rate of cross-cultural recognition of the many benefits of technology, the groundwork is laid for positive change that may well come sooner than expected.

Machines fixing the climate

The pro-ecological potential of artificial intelligence is enormous. Popular GPS technology provides meteorologists with data on wind direction and strength, air and ocean temperatures, and climate change. Big Data supports the processing of large datasets on historical events. They add to the body of knowledge we have on water and air quality, temperature patterns and the condition of forests. Machine learning algorithms allow the rapid creation of many alternative climate change models. Such simulations can help officials and politicians pursue an informed climate policy. The scientists who observe the harm to animal populations use applications to digitally tag animals, which allows researchers to observe their migrations and behaviors. The natural next step in the evolution of silicon machines, i.e. quantum computers, seems to be perfectly suited for such applications. After all, qubits seem to be ideal for handling algorithms and probabilistic models.

Green energy in cities

Spectacular changes may result from the use of artificial intelligence in construction. Intelligent control systems can reduce energy consumption in buildings by analyzing weather forecasts and the demand for heating, cooling and lighting. Machine learning can also optimize shipping routes, minimizing planning inefficiencies (the age-old problem of traveling salesmen), and reducing carbon emissions in supply chains. Autonomous vehicles relying on machine learning could in time correct traffic patterns for better economy thus benefitting the environment. While devices that rely on technology to make complex analyses and forecasts will not fix the climate any time soon, they may slow the damage. One thing that is sure is that they will help us understand how serious the climate problem has become.


The awakening of giants

It is best to start fixing the planet in one’s own backyard. I am optimistic that the companies that have the required financial resources, research potential and intellectual capital will realize their role and responsibilities. Google boasted being able to use Deep Mind algorithms to cut the cost of cooling its device by up to 40%. Amazon and Facebook’s decisions to launch large-scale data centers helped the environment by reducing energy consumption as they increased power density. Apple is on a mission to turn its entire supply chain into a closed-circulation system that generates no waste. Other noteworthy projects make people aware of what is happening with the climate and what can be done to fix it. Such projects also provide tools and, importantly, funds for these purposes. Since 2017, Microsoft has been implementing its five-year “AI for Earth” program of funding scientists with environmental projects. $50 million has already been allocated to developing AI in agriculture, biodiversity, environmental protection, climate change and water management. The program has already funded over 200 teams using artificial intelligence to manage environmental systems. Scholarship holders can share the outcomes of their work in the cloud, which allows them to collaborate with other teams and create larger projects for sustainable development. Intel works with a surgical drain producer to monitor the forests of Costa Rica. By gathering information on tree health and biomass, the project provides invaluable insights into the impacts of carbon emissions. The Chinese company Ant Financial has launched Ant Forest, an application that encourages social networks to reduce their carbon footprint through gamification. By 2018, over 300 million people had registered, leading to the planting of more than 10 million new trees and reducing carbon footprints. Many such projects are being carried out all over the world.

A planet awaiting leaders

The tech industry has three huge things going for it: its command of technology, its financial resources and its ability to influence public opinion. Still, it needs leaders capable of convincing decision-makers that we already have all the tools we need to achieve improvements and that all that is left to do is to change people’s awareness, so that “environmental friendliness” is recognized as equally worthy of our efforts as “profitability” or “efficiency”. Perhaps we need unprecedented gestures that would show the way to other industries. Would Facebook, Twitter and Google violate business rulebooks if they prioritized the advertising of low-emission products and promoted apps helping to reduce harmful emissions? Is it unrealistic to ask for special care to be given to the developers of applications that benefit oceanographers, biologists, and meteorologists?

The earth is sick, and the causes of its disease lie in our choices, our myopia, and our lack of imagination. We, the humans, have turned out to be the strongest allergen and pest, and an organism that runs counter to nature. If our own intelligence is not up to the task, we need to waste no time deploying the artificial kind. The stakes we can fight for together are very high.

Link to this article 

Related articles:

– Technology 2020. Algorithms in the cloud, food from printers and microscopes in our bodies

– Learn like a machine, if not harder

– Time we talked to our machines

– Will algorithms commit war crimes?

– Machine, when will you learn to make love to me?

– Artificial intelligence is a new electricity

– How machines think

Leave a Reply


  1. Aaron Maklowsky

    Well, I don’t think we’ll ever really have an issue with control of AI if you’re the owner. The issue is how it’s used by the owner. It can be for good, like in medicine and developing technology, or it can be malicious in unique, unpredictable ways. AI rarely produces the same path to results, so the uniqueness, and capability is something humans may have a hard time handling and managing. All it takes is for someone to let it out of the bag without fully understanding what’s happening to let it go rogue. Replication is the biggest fear. Once it can replicate we’re pretty fucked. Even if it’s not a malicious AI. It’s just going to be a giant shit show everywhere. Might threaten the integrity of the internet.

  2. Tom Aray

    It doesn’t have to be that way. The Industrial Revolution eventually removed a ton of people out of agriculture work. People just went on to do more qualified stuff. We should be thinking that the AI is enabling us to all become engineers, programmers, entertainers and artists, not that it takes our plumbing and driving jobs. Sheesh.

  3. Jang Huan Jones

    This has been my stance for a while too. No one as far as I’ve heard has been able to make a goal-setting AI, or even an AI that can properly take an order and break it down into smaller tasks, solve those tasks, and then solve the bigger problem.

    4 year olds probably are more capable of independent action than the ‘best’ AI we have out there right now, and Elon makes it out like we’re going to have super intelligence any time soon.

  4. Mac McFisher

    Humans create AI and it soon becomes mans best friend. Dogs won’t stand for this.

    • John Macolm

      I’d be very surprised if nations don’t have “Manhattan” scale projects in the works and in total secrecy related to the use of neural networks for military planning and prediction, perhaps even target acquisition and firing.
      When it emerges on the battlefield as a card up the sleeve which is pulled out when things are looking dire, our current methods of waging war will look as archaic as the weapons of cavemen.

      • Laurent Denaris

        As a machine learning researcher from Russia, all I can say is “Ha-ha”. I do not believe that such a project can be guided by the government here. I’m certain that there would be a lot of money involved, an a lot of corruption. And the actual “researchers” would probably come up with some bullshit like rename a simple opensource chatbot or something.

      • Marc Stoltic

        It’s already acknowledged that black box algorithms in machine learning is a problem. Often they can’t even explain their results to the programmers themselves. The first to develop AI will be the first to experience unexpected results. Not necessarily an advantage.

        • Zeta Tajemnica

          This is why discussions about limiting AI development in the West are just plain naive. Our adversaries are moving full speed ahead.

  5. Andrzej44

    very valid topic. final warning signal for all of us