BRAID UK

‘Responsible AI Futures’ Hybrid Seminar – Dr Lydia Farina
2025-05-08 16:00 - 17:00 UTC | Online only
Determining responsibility considerations for AI ecosystems in the context of the creative industries
This talk provides key insights from our scoping BRAID project ‘Creating a dynamic archive of Responsible AI Ecosystems in the context of Creative AI’. The project lays the foundation work for mapping RAI ecosystems in this context by using bottom-up evidence already collected in specific research and artistic projects. We interpret AI ecosystems as interlinked ecosystems consisting of different individual actors and groups interacting in complex ways with one another and with AI applications. Evidence collected from the case studies are modelled into a dynamic archive to enable us to determine the boundaries of these ecosystems and the relevant responsibility considerations. The structure of the dynamic archive is based on present and future stakeholders and on responsibility priorities identified by the case studies participants. The talk includes insights relating to the responsible use of AI applications both as actors within the ecosystem and as external curators of the dynamic archive.

Bio
Lydia Farina is an Assistant Professor in Philosophy at the University of Nottingham, working on the philosophy of mind, metaphysics and the philosophy of artificial intelligence. More specifically she researches the nature of emotion, AI Responsibility, affective computing and social kinds. In the past year she researched the use of dynamic archives to determine responsible use of AI in the creative industries as the Primary Investigator of a BRAID scoping project. She holds a PhD and a MA in Philosophy from the University of Manchester, a MA in Classics from University College London and a BA in Classics from Aristotle University of Thessaloniki. Before Academia she worked in Finance and is a member of the Chartered Institute of Taxation (CIOT).

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‘Responsible AI Futures’ Hybrid Seminar – Srravya Chandhiramowuli
2025-05-15 16:00 - 17:00 | Inspace, Inspace, 1 Crichton Street, Edinburgh, EH8 9AB, Edinburgh, EH8 9AB, United Kingdom
Millions of workers, particularly in global south regions, are engaged in creating large-scale annotated datasets used for training and fine-tuning models, as well as making AI work as intended by verifying and correcting its outcomes where required. Yet, there is little recognition, in AI development or governance, of the role of data workers or the challenges they face. In this talk, I bring attention to the contributions as well as concerns arising from data work through ethnographic insights into two data work projects, one in which data work is structured as a repetitive, unitised activity and another which aims to recover data work from such reductive frames using feminist-led, participatory approaches. By tracing the work practices, values and tensions across the two projects, I highlight how data work, including efforts to responsibilize it, is caught within and shaped by the globalised supply chains that prioritise efficiency and expansion. Critically examining data work allows us to confront the scalar logics that underpin dataset (and indeed AI) production and to intervene in them as part of envisioning responsible AI futures.

Bio
Srravya Chandhiramowuli is a PhD candidate in the University of Edinburgh’s Institute for Design Informatics and a PhD affiliate at the Centre for Technomoral Futures. Her research closely follows the on-ground practices of dataset production for AI, bringing particular attention to systemic challenges and frictions in data and AI pipelines. Building on scholarship in Human Computer Interaction (HCI) and Science and Technology Studies (STS), Srravya’s research seeks to contribute towards just and equitable AI futures.

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