Prediction Promises: Towards a Metaphorology of Artificial Intelligence

IF 0.2 0 PHILOSOPHY
Leonie A. Möck
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Abstract

ABSTRACT Metaphors are a basic element of scientific language. In the context of Artificial Intelligence, metaphors facilitate the communication between experts and the public, as well as between scientists and engineers. Reimagining AI, here understood as a programmatic call, firstly requires us to be aware of the images we think with. Therefore, in this paper, I develop a claim for a hermeneutic metaphorology of AI, a philosophical investigation of our understanding of AI along metaphors. By studying metaphors of AI, we gain another tool for situating the discourse in and around AI towards its motivational background. This is important since our epistemic practices can’t be isolated from their political implications. Drawing mainly on Hans Blumenberg’s phenomenological philosophy of metaphor, this paper aims to mark the first step towards the broader metaphorological project. The focus hereby will lie on prediction as a paradigm of AI and a source for AI images. By analyzing two images, namely the expert and the black box, this article explores what these metaphors can tell us about the ways in which we perceive AI and how this affects the way we think about and practice human-machine relationality.
预测承诺:走向人工智能的隐喻
摘要隐喻是科学语言的一个基本要素。在人工智能的背景下,隐喻促进了专家与公众之间以及科学家与工程师之间的交流。重塑人工智能,在这里被理解为一种程序性的调用,首先需要我们意识到我们思考的图像。因此,在本文中,我提出了对人工智能的解释学隐喻的主张,这是一种沿着隐喻对我们理解人工智能的哲学研究。通过研究人工智能的隐喻,我们获得了另一种工具,可以将人工智能及其周围的话语定位于其动机背景。这一点很重要,因为我们的认识实践不能与它们的政治含义隔离开来。本文主要借鉴了汉斯·布鲁门伯格的现象学隐喻哲学,旨在标志着向更广泛的隐喻工程迈出了第一步。本文的重点将放在预测上,将其作为人工智能的范式和人工智能图像的来源。通过分析两个图像,即专家和黑匣子,本文探讨了这些隐喻可以告诉我们如何看待人工智能,以及这如何影响我们思考和实践人机关系的方式。
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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