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 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?

Descriptions of our projects can be found here.


AAAI’22 Success

HAPPY news, the paper by LAIV PhD student Daniel Kienitz et co The Effect of Manifold Entanglement and Intrinsic Dimensionality on Learning has been accepted to the AAAI’22. It is a great success, and totally deserved! Many congratulations, Daniel!

MSc student success

LAIV MSc students Michael, Remi and Dan all got high As for their dissertations. Remi in addition received the best MSc dissertation award -2021! Many congratulations to all!