🌖NEXT WEEK🌗
Tues April 30 18:30 (BST)
with @ana_valdi
LIVE @UCLanthropology and on ZOOM
'The supply chain capitalism of AI: a call to (re)think algorithmic harms and resistance'
Everybody welcome FREE, LIVE and online! Just turn up!
Ana Valdivia, Lecturer at Oxford Internet Institute, will be speaking LIVE in the Daryll Forde Room, 2nd Floor of the UCL Anthropology Dept, 14 Taviton St, London WC1H 0BW
**NB We can now use the front door in Taviton St again **
You can also join us on ZOOM (ID 384 186 2174 passcode Wawilak)
Ana writes: 'Artificial Intelligence (AI) has woven into a supply chain of capital, resources and human labour that has been neglected in debates about the social impact of this technology. While the literature on critical AI studies has focused on algorithmic bias and opacity, the global production line fostering AI innovation has drawn little attention. Using Tsing’s concept of supply chain capitalism, this paper offers a journey through mines, semiconductor manufacturers, data centres, technological firms, data labelling factories and e-waste dumps illustrating the complex, diverse, opaque, global structure of the supply chain of AI.
'Then, the paper moves into illuminating a case study drawn from six months of fieldwork on data centres in Mexico, Spain, UK and Chile, revealing that algorithmic harms go beyond code pitfalls. A close examination into the supply chain capitalism of AI reveals that other types of eco-political frictions are arising, particularly in the context of fundamental and environmental rights. This demands a broader and critical perspective on AI studies considering the entire capitalist production line of its industry—from mineral extractivism to e-waste dumps—and its environmental and political consequences.'
April 30, 6:30pm,
LIVE @UCLAnthropology Daryll Forde, 2nd Floor, 14 Taviton St WC1H 0BW
and on ZOOM ID 384 186 2174 passcode Wawilak
@RadicalAnthro@ana_valdi Comprehension question: Is this about #AI (e.g. for #science when creating climate crisis calculations, forest damage surveys, astronomy, etc.) or #generativeAI (this picture-text-pest)/ #LLM or both?
@NatureMC@RadicalAnthro it's about the materiality of generative AI (where are minerals extracted from? where are GPUs manufactured? etc.). The idea is to demistify that AI can tackle climate chain given that its industry is part of the problem.
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