Outsmarting the algorithm or leaving the grid through surveillance artivism

IF 0.2 N/A HUMANITIES, MULTIDISCIPLINARY
Elke Reinhuber
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引用次数: 0

Abstract

Privacy feels like a distant memory since it is virtually non-existent nowadays. Cameras are all around, though we are not only visually monitored from any possible angle, but also with every movement and every trackable parameter. Faced with the feeling of being transparent and constantly recorded by various systems, the idea of becoming invisible is explored: finding inspiration from the ways that artists have tackled the issue of surveillance in their work – being exposed and evading it. Discussing artistic approaches as a means of raising awareness and exploring strategies to outsmart the algorithms can offer us alternative ways of existing outside the world of electricity and its manifold constraints. As the issue has been around for some time, the introduced artistic positions span the past 50 years and allude to the fast-evolving technologies in artistic research projects but also performances and artworks, which appear aesthetically pleasing at first glimpse but are insinuating a much more severe topic. Artworks inside the museum or gallery space might be much more refined, although intervention in the public space may reach a wider and more diverse audience. Raising the question of the evaluation, interpretation and exploitation of the material, the current discourse around artificial intelligence comes to mind and specifically the implications of machine learning and image generation in regard to the authenticity of the image in general, precipitating a broader conversation on surveillance and its antidotes.
超越算法或通过监控艺术主义离开网格
如今,隐私权几乎不复存在,感觉就像遥远的记忆。摄像头无处不在,我们不仅从任何可能的角度受到视觉监控,而且一举一动和每一个可跟踪的参数都受到监控。面对被各种系统透明和不断记录的感觉,我们探讨了 "隐形 "的概念:从艺术家在其作品中处理监控问题的方式--暴露和逃避--中寻找灵感。讨论艺术方法作为提高意识的手段,以及探索超越算法的策略,可以为我们提供在电力世界及其多重限制之外的另一种生存方式。由于这个问题已经存在了一段时间,因此所介绍的艺术立场跨越了过去 50 年,不仅在艺术研究项目中暗指快速发展的技术,而且在表演和艺术作品中也是如此。博物馆或画廊空间内的艺术作品可能要精致得多,但在公共空间的介入可能会接触到更广泛、更多样的受众。在提出对材料的评估、解释和利用问题时,我们想到了当前关于人工智能的讨论,特别是机器学习和图像生成对图像真实性的影响,从而引发了一场关于监控及其解药的更广泛的对话。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artnodes
Artnodes HUMANITIES, MULTIDISCIPLINARY-
CiteScore
0.70
自引率
0.00%
发文量
26
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