可靠性和机器人的见证

Billy Wheeler
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引用次数: 3

摘要

我们越来越依赖机器人和其他形式的人工智能来实现我们的信仰。但是,从机器人的“说”中获得的知识应该如何分类呢?它是否应该被理解为证言性知识,类似于与他人交谈中获得的知识?或者它应该被理解为一种基于工具的知识形式,比如从计算器或日晷上获得的知识?这里的利害关系比术语更大,因为我们如何将对象视为知识来源往往会产生重要的社会和法律后果。在这篇论文中,我认为至少有一些机器人能够作证。我通过探讨仪器和证人之间的差异来提出我的论点,这是一个众所周知的知识解释:可靠性。在这种方法上,我声称,作为知识来源的工具和证人之间的区别在于,只有后者能够欺骗。因为有些机器人可以被设计成欺骗,所以它们也应该被认为是知识的证明来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliabilism and the Testimony of Robots
We are becoming increasingly dependent on robots and other forms of artificial intelligence for our beliefs. But how should the knowledge gained from the “say-so” of a robot be classified? Should it be understood as testimonial knowledge, similar to knowledge gained in conversation with another person? Or should it be understood as a form of instrument-based knowledge, such as that gained from a calculator or a sundial? There is more at stake here than terminology, for how we treat objects as sources of knowledge often has important social and legal consequences. In this paper, I argue that at least some robots are capable of testimony. I make my argument by exploring the differences between instruments and testifiers on a well-known account of knowledge: reliabilism. On this approach, I claim that the difference between instruments and testifiers as sources of knowledge is that only the latter are capable of deception. As some robots can be designed to deceive, so they too should be recognized as testimonial sources of knowledge.
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