{"id":136,"date":"2022-03-08T09:32:49","date_gmt":"2022-03-08T07:32:49","guid":{"rendered":"https:\/\/nivel.teak.fi\/carpa7\/?p=136"},"modified":"2022-10-04T10:18:23","modified_gmt":"2022-10-04T07:18:23","slug":"brain-machine-derive","status":"publish","type":"post","link":"https:\/\/nivel.teak.fi\/carpa7\/brain-machine-derive\/","title":{"rendered":"Brain machine d\u00e9rive"},"content":{"rendered":"\n
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With this game performance, we aim to introduce a new form of technological writing in artistic research. We apply the technical settings of the actual Status Quo of Artificial intelligence in writing, generative neural network models. We use a certain \u201cludic method\u201d, a concept developed within the Ludic Society project. We discuss pre-trained transformers as autoregressive writing styles, connect Deep Learning, automatic writing and choreography. As the departure for our proposed technological \u2018d\u00e9tournement\u2019 we use the contextual setting of a philosophy reading and explore how we can feel rather than understand the text. The concept of D\u00e9rive, deliberated from Debord’s notion and interpreted into Alice Becker-Hos playful interpretation, is approached through philosophy of technology, artistic research and neuroscience. What happens to the notion of activistic play when technology is choreographing, writing and analyzing our moves in the game? Equipped with a brain- computer-interface, we invite online audiences in a LIVE ONLINE writing session. Focusing on technology bias we approach reading as a performative act situating the philosophical content in practice and approaching audiences as an oracle-intelligence. In this way the setting, the game-mechanics and the audience activities acknowledge the session itself as an assemblage, subversively performing (doing), underlining and showing without telling what is at stake. Here we build on the artistic research project Neuromatic Game Arts\/ art games: critical play with neurointerfaces <\/em>(https:\/\/neuromatic.uni-ak.ac.at). At the end of the game loop, a second new text is generated. The words and concepts of the attendees have been algorithmically fed into a Generative Pretrained Transformer in order to generate endless versions of it.. ….. into the loop! The artistic research question concerns the generation of ethical and political questions concerning the measurement of the self.<\/p>\n\n\n\n

[…] being driven by an AI system \u2013 can be experienced as a flow, rather than a succession of distinct moments. Seen from a traditional modern view, these different concepts of time clash: there is a gap between the technology and the life-world, between objective and subjective knowledge. However, with process philosophy, we can radically question the metaphysical basis for such a gap, and see AI, and how we relate to AI and experience AI, as a process rather than an object, and more specifically a process that fuses \u201cobjective\u201d and \u201csubjective\u201d elements, science and lifeworld, scientific time and lived time. <\/p>(Mark Coeckelbergh 2021, 3\u20134)<\/cite><\/blockquote>\n<\/div><\/div>\n\n\n\n

Part 1 Introduction<\/h2>\n\n\n\n

In the walkable performance installation Brain Machine D\u00e9rive, <\/em>performed at Angewandte Festival, Vienna 2021, we were curious how the audience\/visitors could be invited to the philosophical terrain of the Neuromatic Game Art artistic research project. The starting point for the choreographic direction, introduced by Charlotta Ruth, entailed the idea of a philosophy reading combined with the modality of the D\u00e9rive, a recurring and expanded element in the artistic practice of Margarete Jahrmann, Principal Investigator of the Neuromatic Game Art Research Project and professor in experimental game cultures at University of applied Arts Vienna. Inspired by practicing what we philosophically research, we in one of the installations for Brain Machine D\u00e9rive <\/em>outsourced part of the \u201cthinking\u201d to an AI, a GPT-2[1]<\/sup>, a generative pretrained transformer. Through the material the GPT-2 was trained on \u2013 we, as a research team, created a biased artistic research AI. At the end of this paper we will discuss the creative pros and cons, focusing on artistic writing, as well as ethical implications of this experiment for artistic research.<\/p>\n\n\n\n