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Former West

This publication has been realized on the occasion of the project FORMER WEST: Documents, Constellations, Prospects, a joint undertaking by BAK, basis voor actuele kunst, Utrecht and Haus der Kulturen der Welt (HKW),Berlin organized at HKW from 18–24 March 2013.

Radical care

Amateur Cities and the Institute of Network Cultures are proud to present a feminist finance zine titled ‘Radical Care: Embracing Feminist Finance’. It is a cooperative future-thinking effort from the MoneyLab network, a collective of artists, designers, researchers, geeks and activists dedicated to the task of experimenting with more equitable, diverse, and sustainable futures for finance and economy.The zine is a diverse collection of voices organized in three types of contributions: quickfire interviews (short reactions to big questions), double interviews (conversational long reads), and artworks (projects addressing discussed subjects visually).Today we live in a world that is dominated by an economic system that is global, competitive, and centred around a rational and egoistic vision of the human (homo economicus). In this publication we asked ourselves and over twenty contributors how we can embrace different values focusing on locality, cooperation, and caring. Can an affective and compassionate vision of the human get us closer to homo reciprocans or cooperans? How can we break out of the crisis of imagination, and as Lana Swartz and Martin Zeilinger propose, move towards the crisis of implementation? How we can navigate the relations of exchange and trust between humans and machines, but also, our relationship with the environment. Can we finally not only recognize the climate catastrophe, but also find ways to act against it, through an economic lens, mindful of not reproducing patriarchal and colonial histories? As Denise Thwaites notes, this work starts with careful and respectful listening to voices that have long been silenced. In the words of Ruth Catlow and Reijer Hendrikse: history is not over, we are just beginning!We hope this zine will inspire you and those around you to think about alternative ways in which we could organize our economies. We highly encourage you to share it and let it reach new places. For that reason we attached a travel record card as a cover. Please keep it in motion and get in touch!

The future is plural

All Gone: Co-authoring climate imaginaries with AI

All Gone is a series of experiments with AI that build on existing collections of climate fiction to create much-needed new climate imaginaries. As the climate crisis is also a “crisis of imagination” (Ghosh, 2016), this project turns to the art genre that is best at forecasting and imagining alternative futures: science fiction. Using collections of ‘cli-fi’ novels, in which science fiction meets natural disaster or heavy weather, algorithms are trained until they are able to render new climate imaginaries in textual and visual form. The edited texts and curated images are further developed into audio stories and a tarot deck as tools for reflection on present and future living with a changing climate.

Climate futures

This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing and computation, including surrealistic ‘algorithmic writing’, recombinatory poems and ‘electronic literature’. At the core lies a reflection about how machine learning’s associative, predictive and regenerative capacities can be employed in playful, critical and contemplative goals. Our goal is not automating writing (as in product-oriented applications of AI). Instead, as poet Charles Hartman argues, ‘the question isn’t exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting’ (1996, p. 5). STS scholars critique labs as future-making sites and machine learning modelling practices and, for example, describe them also as fictions. Building on these critiques and in line with ‘critical technical practice’ (Agre, 1997), we embed our critique of ‘making the future’ in how we employ machine learning to design a tool for looking ahead and telling stories on life with climate change. This has involved engaging with climate narratives and machine learning from the critical and practical perspectives of artistic research. We trained machine learning algorithms (i.e. GPT-2 and AttnGAN) using climate fiction novels (as a dataset of cultural imaginaries of the future). We prompted them to produce new climate fiction stories and images, which we edited to create a tarot-like deck and a story-book, thus also playfully engaging with machine learning’s predictive associations. The tarot deck is designed to facilitate conversations about climate change. How to imagine the future beyond scenarios of resilience and the dystopian? How to aid our transition into different ways of caring for the planet and each other?