Jennifer Turliuk

Taught Sustainable AI course at MIT

Explore the climate harms and benefits of AI, and strategies for making AI more sustainable.

Cohort 1

Get an overview of the Net Climate Impact of AI. As presented at the Green AI Summit at Harvard.

Lightning Talk on the Net Climate Impact of AI

What’s the real climate footprint of AI? Explore findings from MIT research on:<ul><li>AI’s emissions footprint</li><li>Climate solutions</li><li>Systemic considerations</li></ul> As featured by:<ul><li>Climate Interactive (creators of En-ROADs)</li><li>Green AI Institute conference at Harvard</li><li>UNFCCC YOUNGO constituency</li></ul> Get the full report: The Net Climate Impact of AI - Balancing Current Costs with Future Climate Benefits

Net Climate Impact of AI Report 

Build practical skills to evaluate and reduce AI’s climate impacts. 

Taught Sustainable AI at MIT

This hands-on bootcamp explores the intersection of AI and climate, offering participants foundational knowledge and practical skills. No technical skills are required. Attendees will delve into the climate harms of AI, the potential climate benefits of AI, the net climate impact of AI, and strategies for making AI more sustainable. Participants will transform theory into action through hands-on projects. You'll have the opportunity use intuitive low-code/no-code tools to create an AI application, with optional opportunities to leverage coding for those interested in further technical learning. Learn the fundamentals of sustainable AI, including building an AI solution - while addressing pressing challenges in sustainability. The program concludes with a capstone activity in which participants develop and present a project with the aim of making AI more sustainable; it can be a prototype, policy, framework, venture concept, art piece, or something else. Whether you're new to AI and climate or experienced, this bootcamp provides a platform for innovation and impactful problem-solving. Join us to learn, build, and create solutions for a sustainable future!

AI is harming the climate. Learn strategies to make AI more sustainable.

Evaluate the net climate impact of AI systems

Identify strategies to reduce AI’s climate impacts

Build a sustainable AI project 

Define your role in the future of sustainable AI

No prior experience with AI or climate is required. Knowledge of AI and climate science is helpful but not necessary. 

No technical skills required

Sustainability leaders: learn how to evaluate the climate impacts of AI.

Management consultants: gain insights to integrate AI, energy and climate into your work

Product Managers, Engineers, Consultants, Policymakers

Sustainability of AI

Learn how AI systems consume energy, water, and resources - and what drives their environmental impact.

Understand AI’s climate footprint

Explore both the climate harms and potential climate benefits of AI using real-world examples and systems thinking.

Evaluate the net climate impact of AI

Discover practical strategies, tools, and emerging opportunities to make AI more sustainable across industries.

Jennifer Turliuk will help you make AI more sustainable.