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.

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.

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.

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.

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.

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.

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. 

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.

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.

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 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. 

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.

Savina’s PhD research project is Fairness in AI, co-supervised in the Business School and the School of Informatics.

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.

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.