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.

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.