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Hidden Layer: Intellectual Privacy and Generative AI
Green AI
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Hidden Layer: Intellectual Privacy and Generative AI
The Hidden Layer Workshop explores generative AI and its implications for intellectual privacy, intellectual property, and human agency.
Hidden Layer Workshop
Green AI
Measuring AI's Carbon Footprint
Strategies for Greening AI
Tools for Measuring AI's Impact
Privacy Toolkit
Learn more
Advocacy
Measuring AI's Carbon Footprint
Green AI: All Infographics
Three infographics on Measuring AI's Carbon Footprint, Strategies for Greening AI, and Tools for Measuring AI's Impact. CC BY-NC-SA Hartman-Caverly, 2024.
Green AI: Measuring AI's Carbon Footprint
An infographic about AI's carbon footprint. CC BY-NC-SA Sarah Hartman-Caverly, 2024.
Text Version - Green AI: Measuring AI's Carbon Footprint
A screen-reader friendly text-only version of the infographic.
Sources
Machine Learning Emissions Calculator | ML CO2 Impact
How to Make Generative AI Greener | Harvard Business Review
AI’s Impact on the Environment | AI for Education
Generative AI’s Sustainability Problems Explained | TechTarget
Q&A: UW Researcher Discusses Just How Much Energy ChatGPT Uses | University of Washington
The Generative AI Race has a Dirty Secret | Wired
Making an Image with Generative AI Uses as Much Power as Charging Your Phone | MIT Technology Review
Strategies for Greening AI
Green AI: Strategies for Greening AI
An infographic about strategies to make AI more sustainable. CC BY-NC-SA Sarah Hartman-Caverly, 2024.
Text Version - Green AI: Strategies for Greening AI
A screen-reader friendly text-only version of the infographic.
Sources
What is Green AI and How Do We Benefit? | Integrated Micro-electronics Inc. (IMI)
Q&A: UW Researcher Discusses Just How Much Energy ChatGPT Uses | University of Washington
Patterson et al. (2021) Carbon Emissions and Large Neural Network Training
Two Strategies to Reduce the Carbon Footprint of GenAI | Avanade
How to Make Generative AI Greener | Harvard Business Review
Making an Image with Generative AI Uses as Much Power as Charging Your Phone | MIT Technology Review
Tools for Measuring AI's Impact
Green AI: Tools for Measuring AI's Impact.
An infographic about tools and resources to measure the environmental impact of AI. CC BY-NC-SA Sarah Hartman-Caverly, 2024.
Text Version - Green AI: Tools for Measuring AI's Impact
A screen-reader friendly text-only version of the infographic.
Tools
Website Carbon Calculator
Estimates the carbon footprint of a given website.
Machine Learning Emissions Calculator
Choose your hardware, runtime and cloud provider to estimate the carbon impact of your output.
Green Algorithms
Compute the carbon footprint of an algorithm and compare it to driving and flying.
CodeCarbon
Estimates CO2 emissions generated by computing and provides tips to lessen emissions.
TinyML
Ultra-low power machine learning on the [network] edge.
Further Reading
Luccioni et al. (2023) Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Is Generative AI Bad for the Environment? A Computer Scientist Explains the Carbon Footprint of ChatGPT and its Cousins | The Conversation
Data Centers | Google
Sustainability | Microsoft
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