Our Academic Staff
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.
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.
Dr Cristina Richie joined the Centre in August 2023. She is Lecturer and Cohort Lead for the MSc in Data and Artificial Intelligence Ethics at the University of Edinburgh’s Futures Institute. Her research is driven by a global vision of clean, just, and ethical health care and technology through the development of strategies and policies.
Dr John Zerilli joined the Centre in May 2023. He is the Chancellor’s Fellow (Assistant Professor) in AI, Data, and the Rule of Law at the University of Edinburgh, a Research Associate in the Oxford Institute for Ethics and AI at the University of Oxford, and an Associate Fellow in the Centre for the Future of Intelligence at the University of Cambridge.
Our Professional Staff
Emma joined the CTMF in August 2024 and is covering the role of Centre Manager for the next 12 months whilst Gina is on maternity leave. Emma started working in higher education 20 years ago and has held roles across student recruitment, communications, widening participation and admissions within several Scottish HEIs.
Currently on maternity leave
The Centre's Manager since 2022, Dr Gina Helfrich leads on operations and strategy. Gina also serves as Deputy Chair of the university’s AI and Data Ethics Advisory Board. Previously, she held several programme management and operations roles in the non-profit technology sector.
Jordan joined the team in April 2023 and provides administrative, communications and event support for the Centre for Technomoral Futures. She graduated from Queen Margaret University with an MSc in International Marketing. Jordan also holds an MA in Professional and Applied Ethics from the University of Melbourne.
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.
Our PhD Fellows
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.
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.
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.
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.
Han-Ju’s PhD research focuses on the socio-ethical critique of technology adoption within Scottish social enterprises, stemming from her passion for investigating the intersection between the ethics of technology and alternative organisations.
Iñaki’s work investigates the role of dialogue design in shaping, discourse, normative content, and outcomes of public engagement with emerging technologies.
Yiping’s work focuses on the role and impact brought by the introduction of big data-driven technology.
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.
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.
Claire's current research focuses on building AI data-driven tools able to effectively and ethically improve legal decision making in the context of refugee law. She is exploring the links between machine learning and other disciplines such as law and human rights processes, cognitive sciences, human-AI cooperation and ethics.
Alexander’s PhD research project is the Role of Measurement in Machine Learning and Ethical Implications of the Philosophy of Measurement, co-supervised in the School of Informatics and the School of Philosophy, Psychology, and Language Sciences.
Aditya’s PhD research project is A Data Ethics Framework for Agriculture, co-supervised in the Roslin Institute’s Global Academies by experts in international law and mathematical modelling as related to food security and the global food system.
Bhargavi’s PhD research project is A Responsibility Framework for Governing Trustworthy Autonomous Systems, co-supervised in the School of Informatics and School of Philosophy, Psychology and Language Sciences.
Jamie’s PhD research project is AI and Ethical Decision-Making in a Resource-Limited Health Care Environment, co-supervised in the Usher Institute and the Centre for Biomedicine, Self and Society.
Joe’s PhD research project is The University of Data: Ethical and Social Futures of Data-Driven Education, co-supervised in the School of Social and Political Science and the Moray House School of Education and Sport.
Savina’s PhD research project is Fairness in AI, co-supervised in the Business School and the School of Informatics.
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.
Our Senior Research Affiliates
Dr Giulia De Togni is an experienced ethnographer and an interdisciplinary social scientist specialising in Science and Technology Studies. Her work focuses on responsible research and innovation for AI and robotics applications in the health and care sectors.
Des Higham is Professor of Numerical Analysis in the School of Mathematics at the University of Edinburgh with interests that include the study of vulnerabilities in Artificial Intelligence systems.
Karen Gregory is a digital sociologist and ethnographer. Her work explores the nature and experience of self-employment in the platform economy with a focus on risk, precarity, and worker data rights.
Dr Gavin Sullivan is a Reader in International Human Rights Law at Edinburgh Law School and Principal Investigator on the UKRI Future Leaders Fellowship project, Infra-Legalities: Global Security Infrastructures, Artificial Intelligence and International Law.
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 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.
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.
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 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.
James Garforth teaches ethics, social responsibility and teamwork to undergraduate students in the School of Informatics, and supervises projects to develop tools and practices supportive of responsible development.
Dr Marc Juarez is a Lecturer in Cyber Security and Privacy at the University of Edinburgh. His research addresses the privacy and security risks of the widespread application of machine learning techniques. He is also interested in algorithmic fairness and has collaborated with the MD4SG’s “Bias, Discrimination, and Fairness” working group.
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.
Dr Adam Lopez is a Reader in the School of Informatics. His research for the past two decades has focused on language technology, spanning a wide range of related scientific, mathematical, and engineering problems. He is now most interested in problems related to fairness, accountability, and transparency of language technology.
In her research, Caterina weaves together philosophical dimensions of digital technologies and the analysis of creative practices to investigate the impact that emerging technological innovations have on the creation, consumption, and ownership of content.
Dr Emily Postan is a Chancellor's Fellow in Bioethics in Edinburgh Law School. Her research focuses on the ethical implications of the ways that encounters with health data and health technologies affect our identities and relationships to others.
Burkhard is Professor of Computational Legal Theory, with a particular interest in the use of technology in the justice system, legal responses to technological developments, and the changing vision of the just society under the rule of law.
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.
Tillmann Vierkant is a Professor of Neurophilosophy of Agency and Free Will at the University of Edinburgh.
Our Postdoctoral Researchers and Affiliates
Dr Benedetta Catanzariti is a British Academy Post-Doctoral Fellow in Science, Technology and Innovation Studies at the University of Edinburgh. Her work explores the social, ethical, and political dimensions of data-driven technologies, with a focus on machine learning and its related data practices. She is also a core member of the Edinburgh-based network AI Ethics & Society.
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.
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.
Louise joined the University of Edinburgh in 2022 as a Postdoctoral Fellow, having previously studied for her Master's degree in Socio-Legal Studies (2016) and PhD in Law (2021) at the University of Bristol. She currently works on the Trustworthy Autonomous Systems: Making Systems Answer project.
Giles is a Teaching Fellow in the Department of Philosophy. His courses include Ethics of AI (MSc). He explores normativity, agency, and the ethical dimensions of AI in his research.
Dr Fabio Tollon is a philosopher of technology with interests in the ethics of AI, moral responsibility, and free will. He is a postdoctoral researcher as part of the BRAID (Bridging Responsible AI Divides) Programme.
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.
Our PhD Affiliates
Amanda Horzyk is a PhD candidate in Responsible NLP. Her research bridges legal and technical perspectives in developing leading solutions to complex issues presented by Artificial Intelligence, the Internet and Virtual Reality.
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.
Alice’s research looks at speech technology and human-computer interaction. Her project aims to explore the experiences, attitudes, and concerns of people who have speech difficulties in new contexts.
Ayça is a PhD candidate at the University of Edinburgh. She conducts interdisciplinary research at the intersection of law and human-computer interaction and focuses on fairness and child-centred AI in education.
Claudia’s research is at the intersection of neurotechnology and law. They aim to provide a comprehensive framework to counteract neurohacking and safeguard brain data.
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.
Carolina studies the transhumanist movement - which seeks to transform biology with nanotechnologies, biotechnologies and AI - and its critiques; by resorting to computer scientists, continental philosophers and theologians, her research aims to mediate this battle and develop an interdisciplinary technology ethics.
As a PhD student in the School of Informatics, Lucy is conducting research on approaches to recalibrating machine learning for social biases; she works at the intersection of natural language processing, cultural heritage, and design.
Andrew is a third year PhD student with the Usher Institute, researching the implementation and evaluation practices of robotic surgery systems. Andrew’s research draws on his roots in moral theory, and its application to contemporary medical high technology, as well as practice theory empowered by an ethnographic methodology.
Gemma is a writer and researcher focused on corporate futurism and the cultural economy of deep tech. She is a PhD researcher at Edinburgh University and a Research Associate at Glasgow University. She is author of 'Smoke & Mirrors: How Hype Obscures the Future and How to See Past It'.
Joe is a PhD researcher, working with the University of Edinburgh, Glasgow and National Library of Scotland, ascertaining how cultural heritage organisations can help build up technical fluency in using AI systems for handwritten text recognition.
Past Researchers
January 2022 - June 2024
Prior to her appointment as Assistant Lecturer at Carnegie Mellon University, Dr Atoosa Kasirzadeh was Chancellors Fellow and Research Lead at the CTMF. She had previously held research posts with Australian National University’s Humanising Machine Intelligence project and with DeepMind.
2020 - 2023
Denisea’s PhD research looked at the social and cultural attitudes regarding women that inform current sex robot designs, as well as their broader ethical implications.
April 2023
Judith Simon is Full Professor for Ethics in Information Technologies at the Universität Hamburg. She is interested in ethical, epistemological and political questions arising in the context of digital technologies, in particular in regards to big data and artificial intelligence.
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.
Nov 2022 - Feb 2023
Elena is a Lecturer in philosophy at the University of Woolongong, Australia. She works on emotion and emotional dispositions, drawing especially on dynamical systems theory, life history theory, and predictive processing models of mind.