WHAT IS THE RELATIONSHIP

OCEAN

BETWEEN AI AND SUSTAINABILITY

Due to climate change,
we stand to lose

90% OF THE
WORLD'S
CORAL REEFS

Global ecosystems are in danger. The majority of ecosystems that exist today are at risk of severe degradation even we constrain global warming to 1.5°C (2.7°F).

WHAT IS
AI'S
ROLE‍

in the climate fight?
Climate change is the single biggest health threat facing humanity and wildlife. As satellite imagery maps Antarctic icebergs, drones drop seeds for reforestation, and weather forecasting predicts climate disasters, we wonder:

What is the relationship between AI and sustainability?
What is AI doing for our climate and why does it matter?

THE HISTORY OF

AI-BASED CLIMATE SOLUTIONS

What a

Year

SCROLL

1990s

Early research in AI for climate modeling, which was instrumental in understanding climate change & its impact.

First AI models to predict climate change & its effects (rainfall, sea level rise, & temperature changes).

2000s

2010s

Fast development of AI algorithms & more computing power allows for more accurate climate modeling & forecasting.

Google DeepMind's neural network predicts wind power generated by a wind farm, helping to reduce energy waste.

2015

2016

2017

IBM's Watson supercomputer analyzes big data sets on climate change, helping researchers understand & predict climate phenomena.

2018

Researchers use AI algorithms to optimize energy consumption in buildings, reducing energy use by up to 20%.

AI-powered robots collect data from hard-to-reach areas to understand climate change's impact on ecosystems.

2019

DeepMind develops a machine learning algorithm to accurately predict wind power output, reducing errors by over 50% compared to existing models.

Prospera's AI-powered system analyzes data from drones, sensors, & satellites that informs farmers about irrigation, fertilizer use, & pest management to reduce greenhouse gas emissions & improve crop yields.

2020

2021

IBM launched Environmental Intelligence Suite, a set of AI-powered software that can help organizations assess their impact on the planet.

2022

The National Center for Atmospheric Research developed an AI-based model to predict the impact of sea level rise on coastal areas, a major consequence of climate change.

2023

United Nations & Microsoft partner to enable the UNFCCC to create a new AI-powered platform & global climate data hub to measure global progress in reducing emissions.

2024

WHAT'S

NEXT?

OBJECT DETECTON FOR LITTER

Plastic pollution contributes to climate change by emitting greenhouse gases and harming nature. In the Netherlands, The Ocean Cleanup is using AI and other technologies to help clear plastic pollution from the ocean.

AI that detects objects is helping the organization create detailed maps of ocean litter in remote locations. The ocean waste is then efficiently gathered and removed.

WEATHER FORECASTING

AI is used in a United Nations project to help communities vulnerable to climate change in Burundi, Chad, and Sudan. The IKI Project predicts weather patterns, so communities can better plan how to adapt to climate change and mitigate its impact.

This helps improve access to clean energy, implement proper waste management systems, and encourage reforestation.

ICEBERG MAPPING

AI has been trained to measure changes in icebergs 10,000 times faster than a human, helping scientists understand how much meltwater icebergs release into the ocean—a process accelerating as climate change warms the atmosphere.

The European Space Agency reports that scientists at the University of Leeds say their AI can map large Antarctic icebergs in satellite images in just one-hundredth of a second.

BUT NOT EVERYTHING IS AS IT SEEMS

drag

Behind AI models, data centers power high-performance computing clusters, made up of multiple servers connected through high-speed networks.

THE WAY IT WORKS

Training 1 AI model emits 626,000+ pounds of CO2.

Training, deploying and running AI can be energy intensive, so companies should carefully consider the potential consequences while building the systems.

Check Out its Carbon Footprint

CO2 emissions of 1 AI model =
CO2 emissions of 5 cars over their lifetime

Large language models (LLM) need tens of thousands of advanced high-performance chips for training and for making predictions about new data.

Learn About AI's Computing Power

With transparency and efficiency, we can reduce AI's carbon footprint.

To lower AI's carbon footprint, we can educate companies on how much electricity their computers use and how it translates into carbon emissions. Companies can run their cloud data centers on 100% carbon-free energy and use hardware that emits less heat and needs less energy for cooling.

See What We Can Do

In the fight for our climate,
you can decide the role AI-based climate solutions play.

Almost 4 billion people already live in areas highly vulnerable to climate change, according to the WHO. What can we do to ensure sustainability?

Build a Sustainable Planet

Ensure climate
justice

ENSURE CLIMATE
JUSTICE

TAKE climate ACTION

ADVOCATE FOR
POLICY CHANGE

ADVOCATE FOR
POLICY CHANGE

STAY INFORMED

mobilize global
climate action

mobilize global
climate action

discover worldwide solutions
THANK
YOU

“What you do makes a difference, and you have to decide what kind of difference you want to make.”
— Dr. Jane Goodall

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