• SJ Bennett

    SJ is a Research Associate at The Alan Turing Institute, with a background in Linguistics and Artificial Intelligence. SJ’s research investigates how AI practitioners conduct moral decision-making in designing and anticipating potential impacts of emerging technologies, examining the intersections between emerging technologies, moral psychology, moral philosophy and human-computer interaction.

  • Benedetta Catanzariti

    Benedetta is a British Academy Postdoctoral Fellow in Science, Technology and Innovation Studies at the University of Edinburgh. Her work sits at the intersection of STS and feminist studies and investigates the interplay of power, vision, and knowledge in machine learning its related data practices (the creation and maintenance of training datasets, model development, and evaluation).

  • Vassilis Galanos

    Vassilis is based at the University of Edinburgh, researching the social/historical shaping of artificial intelligence, robotics, and internet technologies, focusing on issues of expectations, expertise, conceptualisations, and funding strategies. Currently a Teaching Fellow (Internet, Society and Economy) and a Research Fellow (Data Civics), with further academic interests including cybernetics, ethnography, information science, invented religions, and media studies.

  • Aditi Surana

    Aditi is a PhD researcher at Design Informatics, University of Edinburgh and a Marie Curie Fellow within EU’s Innovative Training ‘DCODE’ Network. She has an MFA in Design & Technology and a B.Tech in Computer Science. Before starting her PhD, Aditi worked on designing accessible voice interactions for digital assistants. She is interested in the intersection between human-computer interaction, law, ethics and design. Her research focuses on examining human-centred and design-led approaches to AI governance and policy frameworks in Scotland and the UK.

  • Lara Dal Molin

    Lara is a PhD student in Science, Technology and Innovation Studies at the University of Edinburgh, part of the joint programme in Social Data Science with the University of Copenhagen. She is interested the intersection between Artificial Intelligence, language and gender, and investigates this through the study of Large Language Models. In her PhD project, she is exploring hybrid qualitative-quantitative methods, inspired by the Design Justice framework, to address gender bias in open-source language models. Lara is also a tutor within the School of Social and Political Sciences.

  • Cassius Smith-Frazer

    Cassius is a research masters student in philosophy at the University of Edinburgh. His work centres on digital technologies in health and social care, drawing on diverse disciplinary perspectives including from social medicine, STS, political economy, and informatics. He is a contributor to and former project manager for the development of 'BS 30440: Validation Framework for the use of AI within Healthcare', the UK's first validation framework for evaluating the safety, efficacy, and ethical character of AI systems for healthcare. He is a member defence rep for Living Rent and is building a UK branch of Science for the People.