The alien subject of AI
The alien subject of AI
复制标题
人工智能的陌生主题
DOI：
10.1057/s41286-018-00064-3
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发表时间：
2019
期刊：
影响因子：
0.5
通讯作者：
L. Parisi
中科院分区：
文献类型：
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作者：
L. Parisi
沉浸在不断相互学习的人工智能网络中，今天的主题正在通过计算主权的自动化架构进行配置（Bratton 2015）。所有层面的决策都是在给定的概率集中进行的，在这些概率集中，主体的个性被分解成无穷无尽的可分割数字。这些都是在检查点（德勒兹在谈判中：1972-1990，哥伦比亚大学出版社，纽约，1995），在预测数据的不断增长的行动中（Cheney-Lippold在我们是数据和我们的数字自我的制造中，纽约大学出版社，纽约，2017），意识被无意识的计算所取代（达斯顿在“规则的规则”，柏林Wissenschaftskolleg讲座，2010年11月21日）。由于认知的自动化，主体最终被剥夺了理性的先验工具。本文讨论了机器之手的意识认知危机的后果，探讨了是否可以推翻技术的伺服机械模型，以揭示人工智能的异类主体作为一种思维模式，起源于自我决定主体的先验图式，但也超越了这种思维模式。正如用户的社会情感品质已成为资本抽象、价值、量化和政府控制的主要来源一样，作为抽象手段的技术本身也改变了性质。本文将表明，通信的控制论网络不仅将体力和认知劳动吸收到其繁殖回路中，而且更重要的是，通过对行为的数据分析，内容的上下文使用和知识的来源，从人类文化中学习。机器学习的理论化涉及思考的过程，这里将作为一个基本的启发，来论证推理的外星空间的扩展，设想机器思考的可能性，反对控制论的伺服力学模型。
Immersed in the networks of artificial intelligences that are constantly learning from each other, the subject today is being configured by the automated architecture of a computational sovereignty (Bratton 2015). All levels of decision-making are harnessed in given sets of probabilities where the individuality of the subject is broken into endlessly divisable digits. These are specifically re-assembled at check points (Deleuze in Negotiations: 1972–1990, Columbia University Press, New York, 1995), in ever growing actions of predictive data (Cheney-Lippold in We are data and the making of our digital selves, NYU Press, New York, 2017), where consciousness is replaced by mindless computations (Daston in “The rule of rules”, lecture Wissenschaftskolleg Berlin, November 21st, 2010). As a result of the automation of cognition, the subject has thus become ultimately deprived of the transcendental tool of reason. This article discusses the consequences of this crisis of conscious cognition by the hands of machines by asking whether the servo-mechanic model of technology can be overturned to expose the alien subject of artificial intelligence as a mode of thinking originating at, but also beyond, the transcendental schema of the self-determining subject. As much as the socio-affective qualities of the user have become the primary sources of capital abstraction, value, quantification and governmental control, so has technology, as the means of abstraction, itself changed nature. This article will suggest that the cybernetic network of communication has not only absorbed physical and cognitive labour into its circuits of reproduction, but is, more importantly, learning from human culture, through the data analysis of behaviours, the contextual use of content and the sourcing of knowledge. The theorisation of machine learning as involving a process of thinking will be taken here as a fundamental inspiration to argue that the expansion of an alien space of reasoning, envisioning the possibility of machine thinking against the servo-mechanic model of cybernetics.