Imagine if AI didn't just solve problems but did so while using way less electricity and respecting everyone's privacy. This effort is like a high-tech training camp that connects the smartest professors with industry experts to build cleaner, fairer software. It's about making sure the digital brains of the future don't harm the planet or people.
AI development often ignores the high computational energy costs and the ethical risks to individuals and society. Businesses lack a bridge between cutting-edge academic AI research and commercially viable, sustainable products.
The project is building a Network of Excellence and the first versions of algorithms and tools for sustainable and trustworthy AI, tested across 7 specific use cases.
If you are a climate risk assessment firm dealing with high energy costs for data processing — this project developed algorithms that reduce computational costs to help model the effects of policy decisions on society.
If you are a GovTech software provider dealing with the need for ethical AI in government — this project developed tools for trustworthy AI that respect individual rights and contribute to a cohesive society.
If you are an AI development studio dealing with a lack of specialized talent — this project developed a Sciencentrepreneurship track to empower talents at the interface of scientific innovation and business.
Based on available project data, no specific pricing or cost models for the resulting tools are mentioned, as the project focuses on research and talent development.
The project aims for deep integration between academia and industry, specifically targeting the deployment of technologies through 7 defined AI use cases.
Based on available project data, the project tracks success through the number of patents, but specific licensing terms are not provided.
The project focuses on trustworthy and responsible AI that respects individual rights, aligning with the need for ethical AI development.
The project period runs from 2023-09-01 to 2027-08-31, suggesting that final results will be available by late 2027.
The consortium is heavily weighted toward research, with 20 universities and 9 research institutions. However, there is a significant industrial presence with 6 industry partners (17% ratio), indicating a strong push to move academic AI research into practical, commercial applications across 17 different countries.
Contact Universita Degli Studi di Trento
Contact us to explore partnership opportunities with the ELIAS network.
