Shannon Vallor
Co-Director of the Centre, Shannon Vallor is the Baillie Gifford Professor in Ethics of Data and Artificial Intelligence at the University of Edinburgh’s Futures Institute and Department of Philosophy. Professor Vallor also chairs the University’s AI and Data Ethics Advisory Board.
Sam Bennett
Nov 2021 - Apr 2023
While at the CTMF, Sam Bennett was a postdoctoral researcher in a research collaboration between the Centre and the Data for Children Collaborative with UNICEF.
Srravya Chandhiramowuli
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 Rhode
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.
Tara Capel
Dr Tara Capel is a Lecturer in Design Informatics at the University of Edinburgh with an interest in how technology can support people’s wellbeing and empowerment. Her research combines participatory and feminist research, collaborative design (co-design), design probes and making practices to explore new areas of technology design.
Tillmann Vierkant
Tillmann Vierkant is a Professor of Neurophilosophy of Agency and Free Will at the University of Edinburgh.
Tom Boylston
Dr Tom Boylston is a senior lecturer in Social Anthropology with research/teaching interests in psychotherapy, technology, and play. His recent work has focused on selfhood and mental health at the interface between humans and technology, especially videogames and Large Language Models/AI.
Vaishak Belle
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.
Venus Sharma
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.
Yiping Cao
Yiping’s work focuses on the role and impact brought by the introduction of big data-driven technology.
Zeerak Talat
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.