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Lize Alberts

Personal photo - Lize Alberts

Lize Alberts

Doctoral Student

Student, Keble College

Wolfson Building, Parks Road, Oxford OX1 3QD


Topics: Nudging; Dark Patterns; CASA; User Autonomy; Design for Wellbeing; 4E Cognition; Self-Determination Theory; Social Engineering

Fields: Behavioural Design; Social Psychology; Human-Computer Interaction; Human-Robot Interaction; Cognitive Science; Technological Governance; Cognitive Linguistics; Computational Linguistics; Natural Language Processing/Understanding; Analytic Philosophy


Lize is a doctoral candidate in the Human Centred Computing group, co-supervised by Dr. Max van Kleek and Prof. Marina Jirotka. Her work is funded by a graduate scholarship from the Responsible Technology Institute, supported by a gift from AWS. Her research centres on improving how automated systems treat people in interactions, particularly systems that behave as social actors. Her work involves exploring what it means to treat users in ways that are 'respectful' and how to support their sense of autonomy, as well as identifying dark patterns in interfaces that utilise social cues for behavioural design.

Lize has an MA by Thesis degree in Philosophy from Stellenbosch University, focusing on embodied cognition and computational linguistics. Her master's thesis combines a theoretical review of work in congitive science, philosophy of mind/language, and cognitive linguistics, with a review of current practical approaches in NLU to explore some of the remaining requirements for AI systems approaching a human-like command of natural language. She also holds a BA Honours degree in Philosophy from Stellenbosch University on computational linguistics, and her dissertation was published in a peer-reviewed journal. Preceding that, she graduated top of her class with a BA in Humanities, obtaining double the required credits with four majors (Philosophy, English, Social Anthropology, History of Art) at NWU, South Africa.

Lize is a founding member of the Responsible Technology Institute's Student Network.

Selected Publications

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