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. 

Savina’s PhD research project is Fairness in AI, co-supervised in the Business School and the School of Informatics.

The Centre is led by Director Shannon Vallor, the Baillie Gifford Professor in Ethics of Data and Artificial Intelligence at the University of Edinburgh’s Futures Institute and Department of Philosophy. Professor Vallor also chairs the University’s AI and Data Ethics Advisory Board.

Dr Simeon Ximian Xu is Duncan Forrester Fellow, a joint fellowship at the Institute for Advanced Studies in the Humanities and the School of Divinity’s Centre for Theology and Public Issues.

Nov 2021 - Apr 2023

While at the CTMF, SJ Bennett was a postdoctoral researcher in a research collaboration between the Centre and the Data for Children Collaborative with UNICEF.

Srravya’s research examines the work of data annotation for AI, paying particular attention to systemic challenges and frictions, to envision and inform just, equitable futures of AI design, policies and practice.

Stella is developing models for risk prediction in intensive care using AI and causal inference methods. With a background in philosophy and data science, she is exploring how ethical reasoning can be explicitly embedded in the model development process.

Dr Tara Capel is a Lecturer in Design Informatics at the University of Edinburgh with an interest in how technology can support people’s wellbeing and empowerment. Her research combines participatory and feminist research, collaborative design (co-design), design probes and making practices to explore new areas of technology design.

Tillmann Vierkant is a Professor of Neurophilosophy of Agency and Free Will at the University of Edinburgh.

Dr Tom Boylston is a senior lecturer in Social Anthropology with research/teaching interests in psychotherapy, technology, and play. His recent work has focused on selfhood and mental health at the interface between humans and technology, especially videogames and Large Language Models/AI.

Dr Vaishak Belle is Reader at the University of Edinburgh, an Alan Turing Fellow, and a Royal Society University Research Fellow. He has made a career out of doing research on the science and technology of AI.

Venus examines the political and ethical implications of climate-smart innovations in agrarian south, focusing on questions of persistent inequality and dynamics of human agency through social change.

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

Yuxin’s PhD research project is Human Moral Judgements Towards Artificial Intelligence Systems, co-supervised in the School of Philosophy, Psychology and Language Sciences by faculty in Philosophy and Psychology.

Zeerak Talat joined the Centre in November 2024. They are Chancellor’s Fellow in Responsible Machine Learning and AI. Their research centres on if, and how, machine learning and AI technologies can be used towards fair and equitable futures to answer how machine learning and AI should look, if we must live with them in our societies.