From the digital footprint to sustainable artificial intelligence
Sustainable AI Cycle
Program
Did you know that not all AI is created by large corporations or relies on extractivist systems? In this session, we will learn about an inspiring project that advocates for autonomous, sovereign AI managed by the communities themselves. Using open and local models, without data centers or polluting infrastructure, this initiative provides an example of how to reclaim technology with responsibility and social justice.
There will be three project presentations and a subsequent debate with a Q&A session. The projects that will be presented are:
- The Agregore browser, which includes components for using LLMs locally. Presented by Mauve (Canada). Online.
- Doctoral from UPC on federated machine learning in IoT nodes by Nil Llisterri and Felix Freitag. In person.
A practical, interactive activity designed to explore the environmental impact of daily technology use. Through collaborative work and visual mapping, we will analyze how material traceability, natural resource extraction, and planned obsolescence are interconnected. Additionally, we will shed light on the colonial exploitation tied to the manufacturing and mass consumption of electronic devices. This is an opportunity to reflect, learn, and explore ways to reduce our digital footprint!
Artificial intelligence is the future... but at what cost? How can we rethink technology to make it fairer and more ecological?
In this talk, we will explore how AI impacts the environment: global warming, resource extraction, and global inequalities are just some of its consequences. With professor and researcher Ana Valdivia and the collective Tu nube seca mi río, we will discuss solutions and alternatives that place sustainability at the center.