Dr Marion Boulicault is a Lecturer in Philosophy at the University of Edinburgh and a Co-Director of the Harvard GenderSci Lab. Her research applies a feminist approach to questions in the philosophy of science and technology. 

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.

Mary joined the CTMF team in May 2024. She provides administrative support to the CMTF Director, Professor Shannon Vallor, ensuring her time is managed effectively so that she can focus on delivery of her strategic objectives and priorities. Prior to starting at the Centre, she had worked in the Information Services Group (ISG) at the University of Edinburgh since 2019 in various roles.

Dr Matthew J. Cull is an interdisciplinary research fellow at the Centre for Biomedicine, Self and Society. A philosopher, they work on a variety of areas in social and political philosophy, ethics, and feminist philosophy.

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.

Melody has a background in human-computer/robot interaction and product-service system design. Her work focuses on using creative methods and participatory approaches to address open, complex, dynamic, and networked sociotechnical challenges.

Mike is a Postdoctoral Research Fellow in the project “Democracy, Rights and the Rule of Law in the Data-driven Society” where he applies insights from republican political theory to issues in AI involvement in governmental decision procedures. Mike recently received a PhD with distinction for his thesis “The Kantian Republic” at the University of Groningen. 

Milo Phillips-Brown is a Lecturer in the Philosophy of Technology at the University of Edinburgh and a Senior Research Fellow in Digital Ethics and Governance at the Jain Family Institute.

Dr Morshed Mannan’s work explores the governance of digital labour and social media platforms, data infrastructures, and distributed ledger technologies, with a particular interest in cooperative and commons-based approaches.

Dr Kokciyan is a Lecturer in Artificial Intelligence in the School of Informatics, University of Edinburgh. Her research interests include human-centered AI, Privacy, Argument Mining, Responsible AI and AI Ethics. She is currently teaching 'Case Studies in AI Ethics (CSAI)' course in her School. 

Nayha Sethi is Chancellor’s Fellow in Data Driven Innovation. Nayha’s research and teaching focusses on exploring blurred boundaries between, and building responsible regulatory approaches across healthcare, research and innovation.

Professor Nehal Bhuta FRSE holds the Chair of Public International Law at University of Edinburgh and is Co-Director of the Edinburgh Centre for International and Global Law.

Nijesh investigates the role of causality, abstraction, and creativity in neurosymbolic AI, focusing on building more interpretable, human-centric systems that advance understanding in complex domains.

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.

Co-Director of the Centre, Shannon Vallor is 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, Sam 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.