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.

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.

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.

Claudia’s research is at the intersection of neurotechnology and law. They aim to provide a comprehensive framework to counteract neurohacking and safeguard brain data.

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'.

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.

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.

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.

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.

Srravya’s research examines the work of data annotation for AI, paying particular attention to systemic challenges and frictions, to envision and inform just, equitable futures of AI design, policies and practice.

Stella is developing models for risk prediction in intensive care using AI and causal inference methods. With a background in philosophy and data science, she is exploring how ethical reasoning can be explicitly embedded in the model development process.

Venus examines the political and ethical implications of climate-smart innovations in agrarian south, focusing on questions of persistent inequality and dynamics of human agency through social change.