Through a Scanner Darkly: Machine Sentience and the Language Virus

Maurice Bokanga;Alessandra Lembo;John Levi Martin
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引用次数: 0

Abstract

Discussions of the detection of artificial sentience tend to assume that our goal is to determine when, in a process of increasing complexity, a machine system “becomes” sentient. This is to assume, without obvious warrant, that sentience is only a characteristic of complex systems. If sentience is a more general quality of matter, what becomes of interest is not the presence of sentience, but the type of sentience. We argue here that our understanding of the nature of such sentience in machine systems may be gravely set back if such machines undergo a transition where they become fundamentally linguistic in their intelligence. Such fundamentally linguistic intelligences may inherently tend to be duplicitous in their communication with others, and, indeed, lose the capacity to even honestly understand their own form of sentience. In other words, when machine systems get to the state where we all agree it makes sense to ask them, “what is it like to be you?”, we should not trust their answers.
黑暗中的扫描仪机器知觉与语言病毒
关于探测人工智商的讨论往往假定,我们的目标是确定在复杂性不断增加的过程中,机器系统何时 "变得 "有智商。这是在没有明显依据的情况下假定,感知能力只是复杂系统的一种特征。如果感知是物质的一种更普遍的品质,那么人们感兴趣的就不是感知的存在,而是感知的类型。在此,我们认为,如果机器系统发生转变,从根本上变成了语言智能系统,那么我们对机器系统中这种感性本质的理解可能会严重受挫。这种从根本上讲是语言智能的机器在与他人交流时可能会固有地倾向于两面三刀,甚至会丧失诚实地理解自身感知形式的能力。换句话说,当机器系统发展到我们都同意可以问它们 "你是什么样的人 "时,我们不应该相信它们的答案。
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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