Mitsubishi Electric and Inria kick off the FRAIME project, a joint initiative designed to strengthen AI trustworthiness by integrating formal verification methods with AI technologies, ensuring more reliable, transparent, and safe AI systems in critical applications.
Why Trustworthiness Matters for AI at Scale
As AI becomes embedded in safety-critical systems such as infrastructure, cybersecurity, and other essential services minor glitches or unexpected behaviors can lead to serious consequences. Traditional testing and validation approaches are often insufficient, requiring significant time, cost, and resources. FRAIME aims to address this challenge head-on by using rigorous formal methods to verify AI outputs systematically.
What the FRAIME Project Sets Out to Do
FRAIME builds on a long-standing collaboration between Mitsubishi Electric R&D Centre Europe and Inria which has focused on advanced verification methods since 2015. The project seeks to scale up these techniques, moving from small, controlled experiments to verifiable AI systems deployed in real-world, critical environments. Key goals include:
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