Welcome to the Lab for AI Verification

Artificial Intelligence is a research and engineering area that develops methods for adaptive and autonomous applications. For example, when your mobile phone learns to recognise your voice — this is an example of its adaptive behaviour. And when your car navigator suggests a better route — this is prototypical autonomous planning. It is easy to see that adaptive and autonomous applications have become pervasive in both the global economy and our everyday lives. However, can we really trust them? The question of trust in computer systems is traditionally a subject of the Formal Verification domain. The two different domains — AI and Formal Verification — thus have to meet.

LAIV is a team of researchers working on a range of inter-disciplinary problems that combine AI and Formal Verification.

For example, we seek answers to the following questions:

  • How do we establish safety and security of AI applications?
  • What are the mathematical properties of AI algorithms?
  • How can types and functional programming help to verify AI?
  • How can we verify neural networks and other related machine-learning algorithms?
  • How can machine learning improve software verification?

The Lab was established in 2019, with the initial intent to provide a local hub where researchers and research students from the Edinburgh Center for Robotics and the National Robotarium can meet with Computer Scientists, Logicians and Programming Language experts interested in verification of AI. Since then, the range of our projects and collaborations widened. Descriptions of our projects can be found here, and here you can learn more about LAIV members and publications. Get in touch with us if you are interested in establishing a new collaboration!


Vehicle Tutorial

Many LAIV members are involved in the design and testing of the Vehicle specification language (for verifying neural networks). This Summer and Autumn, the team is giving a series of tutorials on Vehicle, at FOMLAS’23 in Paris, VETSS Summer School in Surrey and ICFP Tutorial fest in Seattle. All Vehicle tutorial materials are available here: …

PhD post available:

Neural Network Verification in Vehicle in the Industrial setting. The studentship is funded by SLB, and will include internships in SLB Cambridge. Interested candidates should email ek19@hw.ac.uk

Congratulations to Natalia Slusarz

Many congratulations to Natalia Slusarz and all supervisors for having the paper: Natalia Ślusarz, Ekaterina Komendantskaya, Matthew L. Daggitt, Robert Stewart, Kathrin Stark Logic of Differentiable Logics: Towards a Uniform Semantics of DL accepted at LPAR’23: https://easychair.org/smart-program/LPAR2023/