Lize has an interdisciplinary background spanning artificial intelligence, human-computer interaction, computational linguistics, behavioural psychology, philosophy of mind and language, social anthropology, and cognitive science. Integrating perspectives from these domains, her research focuses primarily on the interface layer, using psychological theory and user studies to determine what it means for interaction and behavioural design to treat people ethically and support them in respectful ways.
She obtained her DPhil in Computer Science from the University of Oxford, focusing on the ethics of human-AI (social) interaction, in which she developed a novel ethical framework centred on the interface layer. Her master’s applied principles from embodied cognition and cognitive linguistics to explore computationally feasible approaches to language grounding and critically assess existing multi-modal grounded language learning approaches in AI.
During her doctorate, Lize worked at Google London as a Student Researcher on contextualising the alignment of social AI agents, laying the groundwork for the field now termed socioaffective alignment, and contributed to a Google DeepMind whitepaper on the ethics of advanced AI assistants.
