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Eilidh Bowman

Eilidh’s research explores the ethical dimensions relating to the adoption of companion robots to support ageing-in-place for older adults experiencing feelings of loneliness and social isolation.

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Adam Lopez

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.

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Aditya Singh

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.

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Alexander Martin Mussgnug

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.

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Alice Ross

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.

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Amanda Maria Horzyk

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.

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Andrew Linn

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.

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Andrew S. Zelny

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.

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Atoosa Kasirzadeh

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.

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Ayça Atabey

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.

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Benedetta Catanzariti

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.

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Bhargavi Ganesh

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.

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Carolina Sanz de la Fuente

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.  

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Charlotte Bird

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.

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Claire Barale

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.

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Cristina Richie

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.

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