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  1. An elemental ethics for artificial intelligence: water as resistance within AI’s value chain.Sebastián Lehuedé - forthcoming - AI and Society:1-14.
    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 (...)
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  • Electricity as (Big) Data: Metering, spatiotemporal granularity and value.Gordon Walker & Mette Kragh-Furbo - 2018 - Big Data and Society 5 (1).
    Electricity is hidden within wires and networks only revealing its quantity and flow when metered. The making of its properties into data is therefore particularly important to the relations that are formed around electricity as a produced and managed phenomenon. We propose approaching all metering as a situated activity, a form of quantification work in which data is made and becomes mobile in particular spatial and temporal terms, enabling its entry into data infrastructures and schemes of evaluation and value production. (...)
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