Our Team

Claudia González-Márquez is a Teaching and Research Fellow in Artificial Intelligence, Data, and the Rule of Law. Claudia is Programme Staff on the interdisciplinary MSc in Data and Artificial Intelligence Ethics, and serves as course organiser for ‘Data and Artificial Intelligence Ethics, Law and Governance’.

Dr Emily Sullivan serves as a Co-Director of the Centre for Technomoral Futures. She is a senior lecturer at the University of Edinburgh’s Department of Philosophy. Emily joined the Futures Institute in 2025 following academic appointments in the Netherlands at Utrecht University and Eindhoven University of Technology.

Ben Schwartz is a Teaching Fellow in the Department of Philosophy. His research focuses upon the impact of recent and emerging technologies on human flourishing.

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.

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. 

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.

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.

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.