4S 2025 | Echoes of Human Care and AI Repair in Times of Broken Machines - call for abstracts
Dear colleagues,
With apologies for cross-posting. Please consider submitting an abstract to our open panel Echoes of Human Care and AI Repair in Times of Broken Machines (panel 86) at the 50th Annual Meeting of the Society for Social Studies of Science (4S): Reverberations (September 3 7, 2025 Seattle WA).
The panel explores AI as a broken machine, examining flaws and failures as sites for sociotechnical change which are entangled with socio-political histories and shape future potentialities. Engaging with relational and nonlinear conceptual and activist lenses exemplified by care and repair, techno-refusal and abolition, this panel aims to challenge mainstream characterizations of AI and chart the complexities of its intertwined flaws, errors and uncertainties. We welcome case studies, theoretical and methodological analyses, and artistic expressions. See below for more information.
Abstracts (max 250 words) can be submitted to the conference platform through the submission system (panel 86). Please note that the deadline for submissions is Feb 2, 2025.
Please note that the conference will be hybrid.
If you have any questions, please feel free to get in touch with us. We look forward to receiving your proposals.
Best regards,
Benedetta Catanzariti, SJ Bennett, Srravya Chandhiramowuli, Lara Dal Molin, Vassilis Galanos, Cassius Smith Frazer, Aditi Surana
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ai-ethics.org
Panel 86 Echoes of Human Care and AI Repair in Times of Broken Machines
We explore AI as a broken machine, examining flaws and failures as sites for sociotechnical change which are entangled with socio-political histories and shape future potentialities. Engaging with relational and nonlinear conceptual and activist lenses exemplified by care and repair, techno-refusal and abolition, this panel aims to challenge mainstream characterizations of AI and chart the complexities of its intertwined flaws, errors and uncertainties. We welcome case studies, theoretical and methodological analyses, and artistic expressions.
This panel explores the socio-political significance of AI malfunctioning through the lens of care and repair, situating these within broader scholarship from STS and Critical Data Studies, aiming to bring together a collective of researchers, artists and activists interested in AI brokenness as both method and site. Just as reverberations transmit and transform energy across space and time, the discussion will focus on the echoes of disruption and the potential for constructive reactivation within and without AI systems. Drawing inspiration from Sarah Sharma's Manifesto for the Broken Machine, we aim to interrogate how brokenness in AI can serve as a site for radical reflection and innovation. The unintentional great IT outage of August 2024 and the intentional governmental internet shutdowns in India serve as points of departure to examine brokenness as a critical concept. By likening broken machines to figures such as Sara Ahmed's killjoys and Donna Haraway's cyborgs, we propose examining the alternative onto-epistemologies that challenge mainstream AI narratives. These perspectives often defy neat categorisation under traditional expertise, demanding a more inclusive approach that embraces marginal voices and diverse modes of knowledge production. This panel invites contributions through case studies, theoretical and methodological explorations, or artistic expressions, that address the following questions: How can brokenness in AI be reimagined as a force for socio-political change? What are the possibilities for repair and care in an age where technology rapidly co-evolves with capitalist exploitation? How do marginalised onto-epistemologies inform our understanding of AI? Is there room for resistance or abolition in regions of high AI entrenchment and enchantment?
AI Ethics & Society is a research network based in Scotland and Northern England, exploring the critical intersections of AI through invited talks, reading groups, screenings, and symposia.
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Dr Benedetta Catanzariti British Academy Postdoctoral Fellow Science, Technology and Innovation Studies The University of Edinburgh
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