我们在造神:人工智能是过去的拟人化权威

IF 4.2 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Carl Öhman
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引用次数: 0

摘要

本文认为,大型语言模型(LLM)应被解释为一种神。在神学意义上,神是超越时空的不朽存在。这显然与 LLM 完全不同。然而,从人类学的意义上讲,神则被定义为一个群体穿越时空的人格化权威--一种将祖先集体塑造成统一的代理人或声音的概念工具。这正是 LLM 的本质。它们是海量数据的产物,是过去人类(语言)行为的字面痕迹,被合成为一个单一的机构,用户(错误地)将其体验为超人类的。我认为,这种重新概念化可以调动几个世纪以来宗教批判的理论资源,为批判 LLMs 开辟新的途径。例如,我借鉴了马丁-海格伦德(Martin Hägglund)的马克思宗教哲学。从这个角度来看,LLMs 的危险不仅表现为偏见或不可预测性,还表现为放弃我们的精神自由和最终的民主自由,转而支持我所说的过去的暴政的诱惑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
We are Building Gods: AI as the Anthropomorphised Authority of the Past

This article argues that large language models (LLMs) should be interpreted as a form of gods. In a theological sense, a god is an immortal being that exists beyond time and space. This is clearly nothing like LLMs. In an anthropological sense, however, a god is rather defined as the personified authority of a group through time—a conceptual tool that molds a collective of ancestors into a unified agent or voice. This is exactly what LLMs are. They are products of vast volumes of data, literally traces of past human (speech) acts, synthesized into a single agency that is (falsely) experienced by users as extra-human. This reconceptualization, I argue, opens up new avenues of critique of LLMs by allowing the mobilization of theoretical resources from centuries of religious critique. For illustration, I draw on the Marxian religious philosophy of Martin Hägglund. From this perspective, the danger of LLMs emerge not only as bias or unpredictability, but as a temptation to abdicate our spiritual and ultimately democratic freedom in favor of what I call a tyranny of the past.

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来源期刊
Minds and Machines
Minds and Machines 工程技术-计算机:人工智能
CiteScore
12.60
自引率
2.70%
发文量
30
审稿时长
>12 weeks
期刊介绍: Minds and Machines, affiliated with the Society for Machines and Mentality, serves as a platform for fostering critical dialogue between the AI and philosophical communities. With a focus on problems of shared interest, the journal actively encourages discussions on the philosophical aspects of computer science. Offering a global forum, Minds and Machines provides a space to debate and explore important and contentious issues within its editorial focus. The journal presents special editions dedicated to specific topics, invites critical responses to previously published works, and features review essays addressing current problem scenarios. By facilitating a diverse range of perspectives, Minds and Machines encourages a reevaluation of the status quo and the development of new insights. Through this collaborative approach, the journal aims to bridge the gap between AI and philosophy, fostering a tradition of critique and ensuring these fields remain connected and relevant.
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