Xin’s research explores the social and ethical dimensions of AI production through ethnographic research on data annotation labour in rural China. She has research interests in anthropology, STS, digital labour, and AI ethics.

Nayantara’s research project examines how digital technologies are reshaping humanitarian care. She is interested in humanitarian innovation, the politics of aid, and refugee governance in the SWANA region.

Saimun’s work focuses on using formal methods in causality, neurosymbolic AI, and AI alignment in order to make legible the limits of computational systems operating in consequential social contexts.

Building on her dual background in philosophy and data science, Stella is applying causal modelling to compare blood transfusion strategies in critical care, while conducting critical ethical analysis of the ways that causal methods are “sold” in academic literature.

Vasilisa’s research interests lie in low-resource languages and the ethical issues they face in generative NLP. Before starting her PhD, she worked as an ML engineer in game development, building recommendation systems, predictive models, and NLP tools for chat moderation and support automation.

Jyotirupa’s PhD research explores welfare beneficiaries’ attitudes towards sharing data with the State in India, particularly in the context of reproductive and maternal healthcare . She is interested in situated conceptualisations of privacy and the ethics of information sharing.

Alice’s research focuses on speech in human-computer interaction, using mixed methods to explore how speaking style is influenced by talkers’ identity, audience, stance, and communicative goals.

Andrew’s academic interests focus on the intersection between ethics, psychology, and technology and how these fields come together to influence technological innovation and the development of moral character.

Charlotte's work will focus on AI ethics in creative spaces, such as the interdisciplinary discussions about computational creativity as a tool for enhancing AI ethics, generative models, and human-algorithm collaboration.

Elisa’s work explores how we can empathise with the lived experience of ageing populations, designing digital devices and services that respond to their hopes and fears.

Harry’s research focuses on the foundation of moral skill, norms, and responsibility – highlighting what we risk as AI companies and corporate structures increasingly insulate decision-makers and developers from the social feedback loops that develop moral expertise.

Martin is a design researcher, artist and engineer. His project explores how adversarial computing and investigative aesthetics might contribute to the interpretability, evaluation and informed use of generative AI applications.

Meenakshi is an interdisciplinary researcher with experience in the fields of computer science and education who is critically examining how EdTech engineers conceptualize and construct AI education technologies.

Sasha’s research explores the intersection between healthcare, ethics, identity politics, and technology, specifically in identifying and analysing the role that machine learning plays in epistemically just or unjust healthcare practices. 

Yiping’s work focuses on the role and impact brought by the introduction of big data-driven technology.