Artificial intelligence is often associated with high energy consumption and significant resource demands. At RobustifAI, we prove that AI can be both high-performing and sustainable. Indeed, RobustifAI focuses not only the performance and robustness, which can improve the adoption rate of AI, but also its sustainability, which aims to alleviate as much as possible the negative impacts (e.g., energy consumption) of the wider adoption.

How does RobustifAI achieve this?

First,by optimizing GenAI Systems, RobustifAI reduces its environmental footprint by improving energy efficiency. Moreover, by limiting dataset size thanks to neuro-symbolic approaches, RobustifAI minimizes data and resource requirements without compromising results.

These innovations empower businesses, especially SMEs and public authorities to innovate responsibly, making sustainable AI accessible to all.

A Real-World Example: Our work on autonomous driving contributes to safer, more sustainable urban transportation, aligning with SDG 11 (Sustainable Cities and Communities).

Thus, environmental protection and AI are not just compatible, they can and should advance together