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'.

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.

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.

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.

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.

Harry’s research focuses on the foundation of moral skill, norms, and responsibility – highlighting what we risk as AI companies and corporate structures increasingly insulate decision-makers and developers from the social feedback loops that develop moral expertise.

Iñaki’s work investigates the role of dialogue design in shaping, discourse, normative content, and outcomes of public engagement with emerging technologies.

Jacqueline’s PhD research explores how to make Natural Language Processing tools and technologies safer, fairer and more equitable for speakers of marginalised languages, drawing on her interdisciplinary background in linguistics, human rights and computer science.

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. 

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 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. 

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.

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.

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.

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.

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.

Kimberley is researching community-based approaches to NLP and exploring how participatory methods can make generative AI safer for Queer people by challenging technocratic structures and centering grassroots knowledge in AI and data governance.

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.

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.

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.