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McaM 展览丨脑洞 Mind the Deep!

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McaM Exhibition:

Mind the Deep: Artificial Intelligence 

and Artistic Creation


Curators: Qiu Zhijie, Iris Long

Organizer: Ming Contemporary Art Museum (McaM)

Exhibition Period: 7 Nov, 2019 - 9 Feb, 2020

Exhibition Opening: 6 Nov, 2019

 


Artists & Collectives:





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脑洞 —— 人工智能与艺术


策展人:邱志杰、龙星如

主办方:McaM 明当代美术馆

展期:2019.11.07 - 2020.02.09

展览开幕:2019.11.06




参展艺术家及组合


 




The functions of storing, addressing, execution, loop, iteration, “if”, “and/or“, as well as errors, are not merely new knowledge and tools brought about by modern computer programs, but also concealed “brain circuits” of contemporary life. They administer our every unconscious switch between mobile apps, catalyse our obsession with process management in daily life, magnify our trust of navigation apps, and guide decisions we seemingly make “without hesitation.” The magnanimity of data mining and the high-performance computing environment have led to unprecedented advances in artificial intelligence, in particular neural networks, which are expanding globally on an industrial scale. The computing system’s tentacles crawl over the earth’s surface, extending into seabeds and valleys. Yet, this unstoppable technology also brings with it an excess of interactions, uncountable loopholes, ambiguity, errors, and abuse.

 

The denotations of the term “artificial intelligence,” its branches and dominating models, are all evolving with time, yet the technology still finds its way to penetrate into the wider world: today’s world has witnessed the birth of a group of farsighted consumers, and users who are conscious of data and privacy, as well as the subtle transformation of knowledge and the melting distinction between “evidence” and “intuition.” There may only be a few who have actually read Alan Turing’s famous essay or imagined his machine: however, almost all of us live in Turing’s land, artists included. We are beginning to believe that similar algorithms can be employed in seemingly unrelated fields or disciplines, and that mediums ranging from “image” to “text” can fall into the same computable space. If we revisit the early twentieth century, we will notice that no revolutionary concepts stayed in one narrow field. Instead, they evolved into more fundamental legacies shared across many academic disciplines—Werner Heisenberg, Claude Shannon, and Ludwig von Bertalanffy may well have proved this. The exhibition “Mind the Deep: Artificial Intelligence and Artistic Creation” features 28 artworks by 22 artists and artist groups, together with demonstrations from AI conferences, to investigate how artificial intelligence has entered different levels and stages of artistic creation: concept development, logical construction, specific tools, and effects. Further more, the exhibition also elaborates how artificial intelligence associates itself in the concealed brain circuits of our lives nowadays, as well as the collective unconsciousness that is immersed in the Technocene.

 

“Mind the Deep” reverses the word “DeepMind.” Depths (layers) of the neural networks imply extreme computing complexities and difficulties of comprehension. Yet the world-leading general algorithms developed by the company DeepMind, are perhaps still far away from “consciousness.” If we think of “DeepMind” as our current millieu, “Mind the Deep” is attitude—the “deep” brain circuits with thousands of twists, desire a “mind,” capable of consciousness, attention, and caution.





存储、寻址、执行、循环、递归、条件、“与或非“以及错误,不仅是现代编程携来的新知识和工具,也是被注入今日生活的隐秘脑回路,支配着手机软件之间的每次无意识跳转,对流程管理的迷恋,对导航的信赖和诸多看似不假思索的决策。海量数据挖掘和高性能计算环境使得以神经网络为代表的人工智能技术呈现不可思议的有效性,并迅速在产业应用层级铺陈开来。运算系统蔓延至星球尺度,海洋之底,山脉之基。然而,这一似乎乘风破浪的技术,也承载着过量的交互与不可统计的漏洞,模棱两可,误差与滥用。

 

尽管“人工智能”定义的外延一直在形变,其分支和占主流地位的模型随着时间不断演进,它本身并不比基础物理学更难被“科普”——今天的世界见证了更为精明的消费者,和对数据与隐私更谨慎的用户的诞生,也目睹了“知识”的定义,乃至证据和直觉之间的界限如何悄然改变。未必多少人读过图灵的论文或想象过他那台机器,但无疑我们都共享着这片图灵的领土,艺术创作者也并不孤立于图灵的话语之外。我们开始相信类似的算法可以被用在看似毫不相关的领域,在“可计算的空间”里,图像与文字并无二致。如果我们回到二十世纪初期,会发现许多颠覆性的概念绝不停留在学科内部,而会成为更基础性的,共享的学科遗产。海森堡,香农与贝塔朗菲或许已经证明过这一点。本次展览通过对22组艺术家,共28件作品和一系列人工智能会议技术展示的呈现,探索“人工智能”如何渗入艺术创作观念,逻辑,具体工具和效应等层面,又如何重新关联到今日生活之“隐秘的脑回路”,和沉浸在技术环境中的无意识。

 

“Mind the Deep”是对 DeepMind 的倒置。神经网络之“深”(层数)意味着极度复杂,使人“不知其所以然”的运算,而在通用算法领域最顶尖的 DeepMind,与“意识”之深或许还相去甚远。如果说 DeepMind 是现状,那么 Mind the Deep 则是态度——“深”(Deep)的,百转千回的脑洞,需要关注(Mind),警惕 (Mind),和心智 (Mind)。















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