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:

  • What are the mathematical properties of AI algorithms and applications?
  • How can types and functional programming help to verify AI planning languages?
  • 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.

We are a part of Dependable Systems Group at HWU.


PPDP’20 publication by LAIV team

Many congratulations to Alasdair Hill, Katya Komendantskaya and Ron Petrick for having the paper Proof-Carrying Plan Logic: a Resource Logic for AI Planning accepted for publication and presentation at PPDP’20!

Summer conferences

Many conferences run on-line and free this Summer. LAIV is attending PLDI’20 and IJCAR’20, to name the two main venues in programming languages and automated reasoning.