I am researching ways for robots to independently learn interaction with human users in a safe and non-invasive way. This way, trustworthiness is built through increase in comfort of the interaction, as the robot is able to adapt to its user...
My PhD project is on the explainability of human-machine dialogue through visualisation. Recently, research on dialogue systems has been shifting focus from a traditional task-oriented rule-based paradigm to the more scalable, but...
My research focuses on neural architectures, specifically what makes which architecture successful when. It turns out that geometry plays an important role: probing the neural network to see what inputs it finds indistinguishable characterises important qualities of...
My PhD project focuses on techniques for safe reinforcement learning. More generally, I’m interested in the problem of AI alignment – how we can create artificial agents that act in accordance with our values, even if those values are somewhat...
My PhD project creates methods that check whether the dataset used for training ML models is biased in order to avoid unfair outputs produced by the AI system. The idea is to use computational argumentation as a basis of explaining the outputs of...
While algorithmic decision-making systems are powerful, they carry with them a risk of discrimination and unfairness. AI practitioners can struggle to identify and rectify this unfairness. While bias mitigation methods have been developed, they do not necessarily...
My PhD research explores how to better align automated content moderation and recommender systems in online platforms with societal interests. In particular, I use ideas from computational social choice to aggregate people’s preferences about the...
For my PhD project, I research explainable agents and how they can adapt their explanations to a specific user based on physiological data and social cues. This could, for instance, mean finding out when to explain or how to find the right level of detail for an...
The current focus of my PhD is on scenarios involving multi-agent interactions between both humans and artificial agents. Technically, my interests lie in the intersection of reinforcement and reward learning, game theory, and symbolic approaches to AI. ...
My PhD project is about improving the robustness and transparency of black box machine learning (ML) models. We are planning to do that by making ML models respect imparted and discovered causal knowledge to then use this as the basis of argumentative...
My PhD project focuses on the exploration and analysis of natural language texts, specifically of philosophical debates on society’s ethical and moral issues, through argument schemes and critical questions. The aim is to develop a new corpus which will enable...
My PhD project focuses on verification of AI systems, in particular neural networks. Nowadays, a broad variety of systems employ AI algorithms to perform certain tasks. However, these models do not lend themselves to traditional verification methods, and for some...
