An elemental ethics for artificial intelligence: water as resistance within AI’s value chain
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Abstract Research and activism have increasingly denounced the problematic environmental record of the infrastructure and value chain underpinning artificial intelligence (AI). Water-intensive data centres, polluting mineral extraction and e-waste dumping are incontrovertibly part of AI’s footprint. In this article, I turn to areas affected by AI-fuelled environmental harm and identify an ethics of resistance emerging from local activists, which I term ‘elemental ethics’. Elemental ethics interrogates the AI value chain’s problematic relationship with the elements that make up the world, critiques the undermining of local and ancestral approaches to nature and reveals the vital and quotidian harms engendered by so-called intelligent systems. While this ethics is emerging from grassroots and Indigenous groups, it echoes recent calls from environmental philosophy to reconnect with the environment via the elements. In empirical terms, this article looks at groups in Chile resisting a Google data centre project in Santiago and lithium extraction (used for rechargeable batteries) in Lickan Antay Indigenous territory, Atacama Desert. As I show, elemental ethics can complement top-down, utilitarian and quantitative approaches to AI ethics and sustainable AI as well as interrogate whose lived experience and well-being counts in debates on AI extinction.
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Acknowledgements: This article would not have been possible without the support provided by the Centre of Governance and Human Rights (CGHR) at the University of Cambridge. I am also thankful to Rob Sharp, Nick Couldry and the reviewer of this article for their insightful comments. I appreciate the engagement and feedback provided by people at the Department of Media and Communications, London School of Economics (UK); Future of Artificial Intelligence Research, FAIR (Pontifical Catholic University of Chile); King's Institute for Artificial Intelligence; IAMCR 2023 (Lyon, France); Data Justice 2023 (Cardiff University, UK); the Oxford Internet Institute; RUSTlab (Ruhr University in Bochum, Germany); and Territorio Ectoplasma (Matadero Madrid, Spain).
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1435-5655