数据、人工智能和更多的辩证法

Mark M. Jarzombek
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引用次数: 0

摘要

数字力量试图将数字“自然化”,从而使其与我们的本体论融为一体,这引发了一系列关于如何识别自我的问题。多管齐下的归化过程是由一种特殊的动态驱动的:数据的“更多”。数据不是一堆静态的信息,而只能在积累策略中发挥作用。企业和学术界已经接受了这种策略——沉迷于它的控制潜力——以一种不可能看到“外部”的方式。然而,这个“更多”并不是万无一失的,事实上,它是围绕着各种各样的错误而设计的——有些是可见的,但大多数不是——这些错误现在也是新自然的一部分。由此产生的辩证法是不稳定的,当它重新设计我们的自我意识时,它面临着自己的命运。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data, AI and the Dialectics of More
The attempt by the digital forces to ‘naturalize’ the digital and thus to make it one with our ontology raises a whole host of issues about how to identify the Self. The multi-pronged process of naturalization are driven by a particular dynamic: the ‘more’ of data. Data is not a static pile of information, but only works within strategies of accumulation. Businesses and academe have bought into this strategy – addicted to its potential for control – in ways that make it impossible to see ‘an outside’. This ‘more’ is, however, hardly foolproof, and is in fact designed around a wide range of fallibilities – some visible, but most not - that are also now part of the new natural. The resultant dialectic is unstable and as it operates to re-engineer our sense of Self it faces its own destiny.
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