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 was a Postdoctoral Research Fellow in the project “Democracy, Rights and the Rule of Law in the Data-driven Society” where he applied insights from republican political theory to issues in AI involvement in governmental decision procedures.

Milo Phillips-Brown is a Lecturer in the Philosophy of Technology and Programme Director for the MSc in Data and AI Ethics. He is also 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 was on Fairness in AI, co-supervised in the Business School and the School of Informatics.

Co-Director of the Centre, Professor Shannon Vallor FRSE 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.

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.

A CTMF Affiliate from 2023 - 2026, Dr Tom Boylston is a senior lecturer in Social Anthropology with research/teaching interests in psychotherapy, technology, and play.

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.