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!


Verification for NLP — new talk

Katya and Marco gave a talk “Mind Your Language: How to Make LLM Applications Trustworthy” at TAS Governance node at Edinburgh university. The pre-print related to the talk can be found here.

New Centre for Doctoral Training — Dependable and Deployable AI for Robotics

A team of Robotics, AI and Verification experts at Heriot-Watt and Edinburgh Universities has secured funding for training a cohort of PhD students in “Dependable and Deployable AI for Robotics”. Press release can be found here. It is an honour for LAIV to be part of this new chapter in the development of the Edinburgh …

Best Short Paper Award — Remi Desmartin

Many congratulations to Remi Desmartin and Omri Isac (and their team of co-authors) for receiving the “Best Short Paper” award at LOPSTR’2023 this week, for the paper: Remi Desmartin, Omri Isac, Grant O. Passmore, Kathrin Stark, Ekaterina Komendantskaya, Guy Katz:Towards a Certified Proof Checker for Deep Neural Network Verification. LOPSTR 2023: 198-209